Iizuka Hiroyuki
| Center for Human Nature Artificial Intelligence and Neuroscience | Associate Professor |
| Research Institute for Electronic Science Research Center of Mathematics for Social Creativity | Associate Professor |
Last Updated :2025/12/04
■Researcher basic information
Profile Information
- https://sites.google.com/view/hiroyukiiizuka
Researchmap personal page
Home Page URL
J-Global ID
Research Field
■Career
Career
- Apr. 2023 - Present
Hokkaido University, Center for Human Nature, Artificial Intelligence and Neuroscience, Associate Professor, Japan - Oct. 2013 - Mar. 2023
Hokkaido University, Graduate school of Information Science and Technology, Associate Professor - Oct. 2008 - Oct. 2013
Osaka University, 大学院・情報科学研究科, 助教 - May 2008 - Sep. 2008
大阪大学大学院, 情報科学研究科, 特任助教 - Apr. 2005 - Mar. 2008
日本学術振興会 特別研究員（PD)
Educational Background
■Research activity information
Awards
- Mar. 2025, 2025 IEEE Symposium Series on Computational Intelligence in Artificial Life and Cooperative Intelligent Systems, Outstanding Paper Award
Shared Encoding and Representation of Tool-Mediated and Direct Touch via Superposition Mechanisms
Haruna Kasashima;Wataru Noguchi;Yasumasa Tamura;Masahito Yamamoto;Hiroyuki Iizuka - Dec. 2019, IEEE ALIFE 2019, Best Paper Award
Analysis of Time Series Generated By Long Short-Term Memory Trained with Adversarial Imitation Learning
Seiya Yamazaki;Hiroyuki Iizuka;Masahito Yamamoto - Dec. 2018, The 22nd Asia Pacific Symposium on Intelligent and Evolutionary Systems, Best Paper Award
Combined Method of YOLO and IOU Tracker for Tracking and Identifying Chimpanzee
Yuichiro Ikeda;Hiroyuki Iizuka;Masahito Yamamoto - Sep. 2016, 日本バーチャルリアリティ学会, 論文賞
往復電流刺激が及ぼす前庭電気刺激の身体動揺増大効果のモデル化
青山一真;飯塚博幸;櫻井悟;古川正紘;前田太郎;安藤英由樹 - Sep. 2014, 日本バーチャルリアリティ学会, 論文賞
腹腔鏡下手術トレーニングにおける視野共有手法による学習効果とその実証
近藤大祐;飯塚博幸;安藤英由樹;小濱和貴;坂井義治;前田太郎
Papers
- Shared Encoding and Representation of Tool-Mediated and Direct Touch via Superposition Mechanisms
Haruna Kasashima, Wataru Noguchi, Yasumasa Tamura, Masahito Yamamoto, Hiroyuki Iizuka
2025 IEEE Symposium Series on Computational Intelligence in Artificial Life and Cooperative Intelligent Systems, Mar. 2025, [Peer-reviewed], [Last author]
English, International conference proceedings - Analysis of Sound Symbolism in Visual Language Models Using Evolutionary Image Generation Systems
Ryoma Shinto, Hiroyuki Iizuka
2024年度日本認知科学会第41回大会, P-1-34A, Sep. 2024, [Last author]
Japanese, Symposium - A Deep Learning Approach to Understanding the Integration of Tools into Body Schema
Haruna Kasashima, Wataru Noguchi, Yasumasa Tamura, Masahito Yamamoto, Hiroyuki Iizuka
ALIFE 2024: Proceedings of the 2024 Artificial Life Conference, Jul. 2024, [Peer-reviewed]
English, International conference proceedings - Analyzing the Sensibility of Visual Language Models Using an Evolving Image Generation System: Focusing on Color Impressions and Sound Symbolism
Ryoma Shinto, Hiroyuki Iizuka
ALIFE 2024: Proceedings of the 2024 Artificial Life Conference, Jul. 2024, [Peer-reviewed]
English, International conference proceedings - 動物園のゾウを対象にした単一監視カメラ映像によるトラッキング手法の検討と実践
西岡拳, 野口渉, 飯塚博幸, 山本雅人
情報処理学会論文誌デジタルプラクティス（TDP）, 5, 3, 60, 69, Jul. 2024, [Peer-reviewed]
Japanese, Scientific journal - Development of Hierarchical Spatial Cognition through Visuo-Motor Experience by Shared-Module RNN
野口渉, 飯塚博幸
第３８回人工知能学会全国大会予稿集, 4S1-OS-30a-02, May 2024, [Last author]
Japanese, Symposium - Multi-stream Single Network: Efficient Compressed Video Action Recognition with a Single Multi-input Multi-output Network
Hayto Terao, Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto
IEEE ACCESS, 12, 20983, 20997, 08 Feb. 2024, [Peer-reviewed]
English, Scientific journal - Acquiring Viewpoint Transformation to Reuse Self Body Image for Other on Self-Organized Internal Spatial Coordinate System
Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto
2023 IEEE International Conference on Development and Learning (ICDL), IEEE, 09 Nov. 2023
International conference proceedings - Detecting Eating Behavior of Elephants in a Zoo Using Temporal Action Localization
Ken Nishioka, Wataru Noguchi, Hiroyuki Izuka, Masahito Yamamoto
Sensors and Materials, 35, 11(4), 3927, 3945, Oct. 2023, [Peer-reviewed]
English, Scientific journal - Hybrid Life : Integrating biological, artificial, and cognitive systems
Manuel Baltieri, Hiroyuki Iizuka, Olaf Witkowski, Lana Sinapayen, Keisuke Suzuki
WIREs Cognitive Science, 14, 6, e1662, Wiley, 05 Jul. 2023, [Peer-reviewed]
English, Scientific journal, Abstract
Artificial life is a research field studying what processes and properties define life, based on a multidisciplinary approach spanning the physical, natural, and computational sciences. Artificial life aims to foster a comprehensive study of life beyond “life as we know it” and toward “life as it could be,” with theoretical, synthetic, and empirical models of the fundamental properties of living systems. While still a relatively young field, artificial life has flourished as an environment for researchers with different backgrounds, welcoming ideas, and contributions from a wide range of subjects. Hybrid Life brings our attention to some of the most recent developments within the artificial life community, rooted in more traditional artificial life studies but looking at new challenges emerging from interactions with other fields. Hybrid Life aims to cover studies that can lead to an understanding, from first principles, of what systems are and how biological and artificial systems can interact and integrate to form new kinds of hybrid (living) systems, individuals, and societies. To do so, it focuses on three complementary perspectives: theories of systems and agents, hybrid augmentation, and hybrid interaction. Theories of systems and agents are used to define systems, how they differ (e.g., biological or artificial, autonomous, or nonautonomous), and how multiple systems relate in order to form new hybrid systems. Hybrid augmentation focuses on implementations of systems so tightly connected that they act as a single, integrated one. Hybrid interaction is centered around interactions within a heterogeneous group of distinct living and nonliving systems. After discussing some of the major sources of inspiration for these themes, we will focus on an overview of the works that appeared in Hybrid Life special sessions, hosted by the annual Artificial Life Conference between 2018 and 2022.
This article is categorized under:Neuroscience > Cognition
Philosophy > Artificial Intelligence
Computer Science and Robotics > Robotics - Multimodal Plastic Body and Peripersonal Space Representation Developed Through Learning of Visuo-Tactile-Proprioceptive Sensations
Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto
ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference, Jul. 2023
English, International conference proceedings - Proprioceptive Drift Can Be Caused by Simple Sensory Prediction
Harada, K, Noguchi, W, Iizuka, H, Yamamoto, M
ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference, Jul. 2023
English, International conference proceedings - Multiple Timescales RNNを用いた敵対的模倣学習による時系列の複雑化と構造化
佐々木 太樹, 野口 渉, 飯塚 博幸, 山本 雅人
情報処理学会第85回全国大会講演論文集, 1, 349, 350, Mar. 2023
Japanese, Symposium - 対戦相手の手札推定とカードの適応的優先順位にもとづく UNO の戦術決定
佐藤 辰哉, 野口 渉, 飯塚 博幸, 山本 雅人
第22回複雑系マイクロシンポジウム講演論文集, 42, 45, Mar. 2023
Japanese, Symposium - 共有モジュールを用いた予測ネットワークによる対面する他者の視点獲得
岩崎 智也, 野口 渉, 飯塚 博幸, 山本 雅人
38, 41, Mar. 2023
Japanese, Symposium - 共有モジュールを用いた自己他者重ね合わせによる姿勢模倣
髙橋 光, 野口 渉, 飯塚 博幸, 山本 雅人
第22回複雑系マイクロシンポジウム講演論文集, 29, 33, Mar. 2023
Japanese, Symposium - 多感覚予測モデルを用いたゴム手錯覚シミュレーションにおける固有感覚ドリフト
原田 航平, 野口 渉, 飯塚 博幸, 山本 雅人
第22回複雑系マイクロシンポジウム講演論文集, 1, 4, Mar. 2023
Japanese, Symposium - Learning shared embedding representation of motion and text using contrastive learning
Junpei Horie, Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto
Artificial Life and Robotics, 28, 1, 148, 157, Springer Science and Business Media LLC, Feb. 2023, [Peer-reviewed]
Scientific journal - Prediction of Protein Function from Tertiary Structure of the Active Site in Heme Proteins by Convolutional Neural Network
Hiroko X. Kondo, Hiroyuki Iizuka, Gen Masumoto, Yuichi Kabaya, Yusuke Kanematsu, Yu Takano
Biomolecules, 13, 1, 137, 137, MDPI AG, 09 Jan. 2023, [Peer-reviewed]
Scientific journal, Structure–function relationships in proteins have been one of the crucial scientific topics in recent research. Heme proteins have diverse and pivotal biological functions. Therefore, clarifying their structure–function correlation is significant to understand their functional mechanism and is informative for various fields of science. In this study, we constructed convolutional neural network models for predicting protein functions from the tertiary structures of heme-binding sites (active sites) of heme proteins to examine the structure–function correlation. As a result, we succeeded in the classification of oxygen-binding protein (OB), oxidoreductase (OR), proteins with both functions (OB–OR), and electron transport protein (ET) with high accuracy. Although the misclassification rate for OR and ET was high, the rates between OB and ET and between OB and OR were almost zero, indicating that the prediction model works well between protein groups with quite different functions. However, predicting the function of proteins modified with amino acid mutation(s) remains a challenge. Our findings indicate a structure–function correlation in the active site of heme proteins. This study is expected to be applied to the prediction of more detailed protein functions such as catalytic reactions. - Generation of structured spatial patterns through adversarial imitation learning
Hiroyuki Iizuka, Wataru Noguchi, Taiki Sasaki, Masahito Yamamoto
The Evolution of Language Proceedings of the Joint Conference on Language Evolution 2022, 317, 324, Sep. 2022, [Peer-reviewed], [Lead author]
English, International conference proceedings - Compressed video ensemble based pseudo-labeling for semi-supervised action recognition
Hayato Terao, Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto
Machine Learning with Applications, 9, 100336, 100336, 100336, Elsevier BV, Sep. 2022, [Peer-reviewed]
English, Scientific journal - Elucidation of the Correlation between Heme Distortion and Tertiary Structure of the Heme-Binding Pocket Using a Convolutional Neural Network
Hiroko X. Kondo, Hiroyuki Iizuka, Gen Masumoto, Yuichi Kabaya, Yusuke Kanematsu, Yu Takano
Biomolecules, 12, 9, 1172, 1172, MDPI AG, 24 Aug. 2022, [Peer-reviewed]
English, Scientific journal, Heme proteins serve diverse and pivotal biological functions. Therefore, clarifying the mechanisms of these diverse functions of heme is a crucial scientific topic. Distortion of heme porphyrin is one of the key factors regulating the chemical properties of heme. Here, we constructed convolutional neural network models for predicting heme distortion from the tertiary structure of the heme-binding pocket to examine their correlation. For saddling, ruffling, doming, and waving distortions, the experimental structure and predicted values were closely correlated. Furthermore, we assessed the correlation between the cavity shape and molecular structure of heme and demonstrated that hemes in protein pockets with similar structures exhibit near-identical structures, indicating the regulation of heme distortion through the protein environment. These findings indicate that the tertiary structure of the heme-binding pocket is one of the factors regulating the distortion of heme porphyrin, thereby controlling the chemical properties of heme relevant to the protein function; this implies a structure–function correlation in heme proteins. - Gradient Climbing Neural Cellular Automata
Shuto Kuriyama, Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto
Proceedings of the Artificial Life Conference 2022, 407, 409, MIT Press, Jul. 2022, [Peer-reviewed]
English, International conference proceedings - Generation of Complex Patterns using Coupled Generative Adversarial Networks
Hiroyuki Iizuka, Taiki Sasaki, Wataru Noguchi, Masahito Yamamoto
Proceedings of the Artificial Life Conference 2022, 298, 300, MIT Press, Jul. 2022, [Peer-reviewed], [Lead author]
English, International conference proceedings - Bottom-up formation of number representation and top-down understanding of symbolic manipulation
Shimada Yasuhiro, Noguchi Wataru, Iizuka Hiroyuki, Yamamoto Masahito
Proceedings of the Artificial Life Conference 2022, 147, 154, MIT Press, Jul. 2022, [Peer-reviewed]
English, International conference proceedings - 視覚と運動の予測学習を通して空間認知を獲得する深層学習モデル
野口 渉, 飯塚 博幸, 山本 雅人
システム／制御／情報, 66, 4, 139, 144, Apr. 2022, [Invited]
Japanese, Scientific journal - 畳み込みニューラルネットワークを用いた色の恒常性の学習によるドレスの色の錯視の再現
市川貴大, 野口渉, 飯塚博幸, 山本雅人
情報処理学会第84回全国大会, 2, 861, 862, Mar. 2022
Japanese, Symposium - Superposition mechanism as a neural basis for understanding others
Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto, Shigeru Taguchi
Scientific Reports, 12, 2859, Feb. 2022, [Peer-reviewed]
English, Scientific journal - Multi-modal shared module that enables the bottom-up formation of map representation and top-down map reading
Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto
Advanced Robotics, 36, 1-2, 85, 99, Informa UK Limited, 02 Jan. 2022, [Peer-reviewed]
Scientific journal - The shared-module neural network for self/other differentiation and symbol grounding
Hiroyuki Iizuka
Proceedings of the twenty-seventh international symposium on Artificial life and Robotics, 1124, 1125, Jan. 2022, [Peer-reviewed], [Lead author]
English, International conference proceedings - Increasing complexity of symbol sequences in adversarial imitation learning experiment
Kazufumi Nomura, Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto
Proceedings of the twenty-seventh international symposium on Artificial life and Robotics, 231, 236, Jan. 2022, [Peer-reviewed]
English, International conference proceedings - Understanding intention of others through visual predictive learning based on superposition mechanism
Katsuki Auchi, Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto
Proceedings of the twenty-seventh international symposium on Artificial life and Robotics, 1812, 1817, Jan. 2022, [Peer-reviewed]
English, International conference proceedings - 教師ありBarlow Twinsによる少データ手話単語認識のための事前学習
荒木関 渉, 野口 渉, 飯塚 博幸, 山本 雅人
第22回公益社団法人計測自動制御学会システムインテグレーション部門講演会, 629, 634, Dec. 2021
Japanese, Symposium - I3Dを用いたツシマヤマネコの発情兆候検出
韓靖威, 足立樹, 小泉那於, 野口渉, 飯塚博幸, 山本雅人
ロボティクス・メカトロニクス講演会2021 （ROBOMECH2021）講演論文集, May 2021
Japanese, Symposium - カメラ画像を用いた深層学習による水族館の水透明度判定
高一, 佐藤聡, 西村究, 野口渉, 飯塚博幸, 山本雅人
ロボティクス・メカトロニクス講演会2021 （ROBOMECH2021）講演論文集, May 2021 - Electrical Generation of Intranasal Irritating Chemosensation
Kazuma Aoyama, Nobuhisa Miyamoto, Satoru Sakurai, Hiroyuki Iizuka, Makoto Mizukami, Masahiro Furukawa, Taro Maeda, Hideyuki Ando
IEEE Access, 9, 106714, 106724, Institute of Electrical and Electronics Engineers (IEEE), 2021, [Peer-reviewed]
English, Scientific journal - Complexity Growth by Cooperative Interaction in Adversarial Learning
Taiki Sasaki, Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto
Proceedings of the twenty-sixth international symposium on Artificial life and Robotics, 78, 83, Jan. 2021, [Peer-reviewed]
English, International conference proceedings - Multi-agent formation by learning communication signals using DIAL in a distributed multi-agent environment
Hironobu Horiuchi, Wataru Noguchi, Iizuka Hiroyuki, Masahito Yamamoto
Proceedings of the twenty-sixth international symposium on Artificial life and Robotics, 308, 312, Jan. 2021, [Peer-reviewed]
English, International conference proceedings - 周辺地域の予測レーダ雨量を用いた深層学習による水路の水位予測
石川拓実, 阿曽克司, 羽黒厚志, 野口渉, 飯塚博幸, 山本雅人
第21回計測自動制御学会システムインテグレーション部門講演会, 2080, 2083, Dec. 2020
Japanese, Symposium - カメラ映像を用いたYOLOとI3Dによる飼育動物の行動分類
加藤圭吾, 野口渉, 飯塚博幸, 山本雅人
"第21回計測自動制御学会システムインテグレーション部門講演会 ", 2084, 2087, Dec. 2020
Japanese, Symposium - Semi-supervised Learning Combining 2DCNNs and Video Compression for Action Recognition
Hayato Terao, Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto
2020 International Conference on Vision, Image and Signal Processing(ICVISP 2020), 14, 6, ACM, Dec. 2020, [Peer-reviewed]
English, International conference proceedings - DIALを用いた通信シグナルの学習によるマルチエージェントフォーメーション
堀内宏信, 野口渉, 飯塚博幸, 山本雅人
19回情報科学技術フォーラム(FIT2020)講演論文集, 第2分冊, 265, 266, Sep. 2020
Japanese, Symposium - 複数の代表点を用いたSDMMに基づく半教師あり行動認識手法
寺尾 颯人, 野口 渉, 飯塚 博幸, 山本 雅人
19回情報科学技術フォーラム(FIT2020)講演論文集, 第3分冊, 165, 166, Sep. 2020
Japanese, Symposium - 深層学習モデルによる自己と他者の共有身体イメージの獲得
野口 渉, 飯塚 博幸, 山本 雅人
19回情報科学技術フォーラム(FIT2020)講演論文集, 第2分冊, 299, 300, Sep. 2020
Japanese, Symposium - Artificial Life Next Generation Perspectives: Echoes from the 2018 Conference in Tokyo Editorial Introduction to the ALIFE 2018 Special Issue
Olaf Witkowski, Takashi Ikegami, Nathaniel Virgo, Mizuki Oka, Hiroyuki Iizuka
ARTIFICIAL LIFE, 26, 1, 1, 4, Apr. 2020
English - Learning of Evaluation Function in Digital Curling Considering the Probability of Scores at Each End
Kotaro Ataka, Wataru Noguchi, Iizuka Hiroyuki, Masahito Yamamoto
AAAI20 Workshop, Artificial Intelligence in Team Sports, 1, 6, Feb. 2020, [Peer-reviewed]
English, International conference proceedings - MixMatch based semi-supervised learning for video action recognition using 3D convolutional neural networks
Hayato Terao, Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto
Proceedings of the twenty-fifth international symposium on Artificial life and Robotics, 305, 310, Jan. 2020, [Peer-reviewed]
English, International conference proceedings - Efffect of Reactivity Artificial Medaka on Real Medaka
Katsuki Auchi, Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto
Proceedings of the twenty-fifth international symposium on Artificial life and Robotics, 86, 89, Jan. 2020, [Peer-reviewed]
English, International conference proceedings - Reinforcement Learning Method with Internal World Model Training
Kenji Hirata, Hiroyuki Iizuka, Masahito Yamamoto
Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, 201, 204, IEEE, Jan. 2020, [Peer-reviewed]
English, International conference proceedings - Analysis of Time Series Trained by Adversarial Imitation Learning in Discrete State Neural Network Model
Seiya Yamazaki, Hiroyuki Iizuka, Masahito Yamamoto
Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, 182, 187, IEEE, Jan. 2020, [Peer-reviewed]
English, International conference proceedings - Complexity of bird song caused by adversarial imitation learning
Seiya Yamazaki, Hiroyuki Iizuka, Masahito Yamamoto
Artificial Life and Robotics, 25, 1, 124, 132, Jan. 2020, [Peer-reviewed]
English, Scientific journal - Analysis of Time Series Generated By Long Short-Term Memory Trained with Adversarial Imitation Learning
Seiya Yamazaki, Hiroyuki Iizuka, Masahito Yamamoto
Proceedings of the 2019 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2019), 224, 228, IEEE, Dec. 2019, [Peer-reviewed]
English, International conference proceedings - 分割した集団の学習による役割分担の獲得
荒木関 渉, 野口 渉, 飯塚 博幸, 山本 雅人
情報処理北海道シンポジウム2019, Oct. 2019
Japanese, Symposium - Hybrid Synthetic Approach to Animal Interaction
Hiroyuki Iizuka, Yosuke Nakamoto, Masahito Yamamoto
Proceedings of the Artificial Life Conference 2019, 50, 51, Jul. 2019, [Peer-reviewed]
English, International conference proceedings - Spatial Representation of Self and Other by Superposition Neural Network Model
Wataru Noguchi, Hiroyuki Iizuka, Shigeru Taguchi, Masahito Yamamoto
Proceedings of the Artificial Life Conference 2019, 531, 532, Jul. 2019, [Peer-reviewed]
English, International conference proceedings - 3次元畳み込みニューラルネットワークを用いた店舗における顧客行動の分類
貝塚 裕, 飯塚 博幸, 山本 雅人
ロボティクス・メカトロニクス講演会2019 （ROBOMECH2019）, 1A1-M05, Jun. 2019
Japanese, Symposium - UAVの空撮画像を利用した産業廃棄物最終処分場の容量推定
賀川祐太郎, 飯塚博幸, 山本雅人
第５１回計測自動制御学会北海道支部学術講演会論文集, 27, 30, Mar. 2019
Japanese, Symposium - Developing Evaluation Function by Deep Reinforcement Learning in the Non-Deterministic Game
安宅耕太郎, 飯塚博幸, 山本雅人
第18回複雑系マイクロシンポジウム（CSMS2019）, 62, 65, Mar. 2019
Japanese, Symposium - Feature Vector Extraction for Semi-supervised Action Recognition by LSTM Autoencoder
寺尾颯人, 飯塚博幸, 山本雅人
第18回複雑系マイクロシンポジウム（CSMS2019）, 25, 30, Mar. 2019
Japanese, Symposium - Differentiation of communication signals using Deep Q-Network
堀内宏信, 飯塚博幸, 山本雅人
第18回複雑系マイクロシンポジウム（CSMS2019）, 76, 80, Mar. 2019
Japanese, Symposium - Group Decision Making through Behavioral Interaction in Robot Swarm
Naohiro Shibuya, Hiroyuki Iizuka, Masahito Yamamoto
2019 IEEE/SICE International Symposium on System Integration (SII2019), 764, 769, IEEE, Jan. 2019, [Peer-reviewed]
International conference proceedings - Establishing Mutual Interaction between Artificial and Real Medaka
Yosuke Nakamoto, Hiroyuki Iizuka, Masahito Yamamoto
Proceedings of the Twenty-Fourth International Symposium on Artificial Life and Robotics (AROB2019), 633, 637, Jan. 2019, [Peer-reviewed] - Adversarial Imitation Learning of Bird Song Modeled with Recurrent Neural Network
Seiya Yamazaki, Hiroyuki Iizuka, Masahito Yamamoto
Proceedings of the Twenty-Fourth International Symposium on Artificial Life and Robotics (AROB2019), 162, 167, Jan. 2019, [Peer-reviewed]
English, International conference proceedings - Modeling place and head-direction cells self-organized in different environments using recurrent neural networks
Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto
Proceedings of the Twenty-Fourth International Symposium on Artificial Life and Robotics (AROB2019), 67, 72, Jan. 2019, [Peer-reviewed]
English, International conference proceedings - Mutual learning between human and machine to develop a human-machine interface to operate multi-DOF robots
Kei Takada, Hiroyuki Iizuka, Subhransu Maji, Masahito Yamamoto
Proceedings of the Twenty-Fourth International Symposium on Artificial Life and Robotics (AROB2019), 397, 403, Jan. 2019, [Peer-reviewed]
English, International conference proceedings - Reinforcement Learning to Create Value and Policy Functions using Minimax Tree Search in Hex
Kei Takada, Hiroyuki Iizuka, Masahito Yamamoto
IEEE transactions on Games, 12, 1, 63, 73, Jan. 2019, [Peer-reviewed]
English, Scientific journal - Navigation behavior based on self-organized spatial representation in hierarchical recurrent neural network
Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto
Advanced Robotics, 33, 11, 539, 549, Jan. 2019, [Peer-reviewed]
English, Scientific journal - Self-tuning neuro-PID controller for indoor entertainment balloon robot
Hiroya Nagata, Soichiro Yokoyama, Tomohisa Yamashita, Hiroyuki Iizuka, Masahito Yamamoto, Keiji Suzuki, Hidenori Kawamura
Journal of Robotics and Mechatronics, 30, 3, 390, 396, Jun. 2018
Scientific journal - Self-Tuning Neuro-PID Controller for Indoor Entertainment Balloon Robot
Hiroya Nagata, Soichiro Yokoyama, Tomohisa Yamashita, Hiroyuki Iizuka, Masahito Yamamoto, Keiji Suzuki, Hidenori Kawamura
JOURNAL OF ROBOTICS AND MECHATRONICS, 30, 3, 390, 396, Jun. 2018
English, Scientific journal - Reinforcement Learning for Creating Evaluation Function Using Convolutional Neural Network in Hex
Kei Takada, Hiroyuki Iizuka, Masahito Yamamoto
Proceedings - 2017 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2017, 196, 201, Institute of Electrical and Electronics Engineers Inc., 09 May 2018, [Peer-reviewed]
English, International conference proceedings - Beyond AI: A New Epistemology for Artificial Life and Complex Systems, an Introduction to the 2018 ALIFE conference
Takashi Ikegami, Nathaniel Virgo, Olaf Witkowski, Mizuki Oka, Reiji Suzuki, Hiroyuki Iizuka
2018 CONFERENCE ON ARTIFICIAL LIFE (ALIFE 2018), 1, 4, 2018
English, International conference proceedings - Self-Tuning Neuro-PID Controller for Indoor Entertainment Balloon Robot.
Hiroya Nagata, Soichiro Yokoyama, Tomohisa Yamashita, Hiroyuki Iizuka, Masahito Yamamoto, Keiji Suzuki, Hidenori Kawamura
J. Robotics Mechatronics, 30, 3, 390, 396, 2018
Scientific journal - Computer Hex Algorithm Using a Move Evaluation Method Based on a Convolutional Neural Network
Kei Takada, Hiroyuki Iizuka, Masahito Yamamoto
Communications in Computer and Information Science, 818, 19, 33, Springer Verlag, 2018, [Peer-reviewed]
English, International conference proceedings - Combined Method of YOLO and IOU Tracker for Tracking and Identifying Chimpanzee
Yuichiro Ikeda, Hiroyuki Iizuka, Masahito Yamamoto
The 22nd Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES 2018), 110, 115, 2018, [Peer-reviewed]
English - 手話動作分類におけるRCNNモデルの性能評価と内部状態解析
松田 啓佑, 飯塚 博幸, 山本雅人
2018年度 人工知能学会全国大会, 2631, 2634, 2018 - 畳み込みニューラルネットワークによるチンパンジーの個体識別
池田 宥一郎, 飯塚 博幸, 山本雅人
2018年度 人工知能学会全国大会（第32回）, 93, 95, 2018 - Emergence of Chaotic Time Series by Adversarial Imitation Learning
Seiya Yamazaki, Hiroyuki Iizuka, Masahito Yamamoto
Proceedings of the 2018 Conference on Artificial Life, 659, 664, 2018, [Peer-reviewed]
English, International conference proceedings - Learning of Individual Sensorimotor Mapping to Form Swarm Behavior from Real Fish Data
Hiroyuki Iizuka, Yosuke Namamoto, Masahito Yamamoto
Proceedings of the 2018 Conference on Artificial Life, 179, 185, 2018, [Peer-reviewed]
English, International conference proceedings - Effect of behavioral complexity on development of spatial recognition
Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto
Proceedings of the 2018 Conference on Artificial Life, 147, 154, 2018, [Peer-reviewed]
English, International conference proceedings - Deep Reinforcement Learning Method Enabling Stable Learning in Multi-Agent Environment
Kenji Hirata, Hiroyuki Iizuka, Masahito Yamamoto
Proceedings of the 22nd Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES 2018), 163, 168, 2018, [Peer-reviewed]
English, International conference proceedings - Differentiation of communication signals to establish cooperation using Deep Q-Network
Hironobu Horiuchi, Hiroyuki Iizuka, Masahito Yamamoto
Proceedings of the 22nd Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES 2018), 156, 162, 2018, [Peer-reviewed]
English, International conference proceedings - Development of entertainment balloon robot system for an indoor event venue
Hiroya Nagata, Stefan Walke, Soichiro Yokoyama, Tomohisa Yamashita, Hiroyuki Iizuka, Masahito Yamamoto, Keiji Suzuki, Hidenori Kawamura
Artificial Life and Robotics, 23, 2, 192, 199, Dec. 2017, [Peer-reviewed]
English, Scientific journal - Evolution of communication through differentiation of communicative and goal-directed behaviors
Naohiro Shibuya, Hiroyuki Iizuka, Masahito Yamamoto
Artificial Life and Robotics, 23, 2, 225, 240, Dec. 2017, [Peer-reviewed]
English, Scientific journal - A Sensorimotor Signature of the Transition to Conscious Social Perception: Co-regulation of Active and Passive Touch
Hiroki Kojima, Tom Froese, Mizuki Oka, Hiroyuki Iizuka, Takashi Ikegami
FRONTIERS IN PSYCHOLOGY, 8, 1778, Oct. 2017, [Peer-reviewed]
English, Scientific journal - Unconscious improvement in foreign language learning using mismatch negativity neurofeedback: A preliminary study
Ming Chang, Hiroyuki Iizuka, Hideki Kashioka, Yasushi Naruse, Masahiro Furukawa, Hideyuki Ando, Taro Maeda
PLOS ONE, 12, 6, e0178694, Jun. 2017, [Peer-reviewed]
English, Scientific journal - Cognitive map self-organization from subjective visuomotor experiences in a hierarchical recurrent neural network
Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto
ADAPTIVE BEHAVIOR, 25, 3, 129, 146, Jun. 2017, [Peer-reviewed]
English, Scientific journal - Attraction basin sphere estimation approach for niching CMA-ES
Zhuoran Xu, Hiroyuki Iizuka, Masahito Yamamoto
SOFT COMPUTING, 21, 5, 1327, 1345, Mar. 2017, [Peer-reviewed]
English, Scientific journal - DCGANにおける潜在空間上の局在配置を用いた画像融合
西村 亮, 飯塚 博幸, 山本 雅人
精密工学会学術講演会講演論文集, 2017, 27, 28, 公益社団法人 精密工学会, 2017
Japanese, DCGANは画像生成モデルの学習手法として注目を集めており，画像の生成には潜在空間上のベクトルを用いる．潜在空間上には学習した画像の特徴が連続的に分布しており，潜在空間上の２点の中間点では2つの画像の特徴を併せもつような画像となる．本研究では既知の画像を潜在空間へ局在配置させる学習を行い，潜在空間と生成画像を関係づけることで異なる性質の画像の融合を試みる． - Morphological Evolution of Soft Robots by Age-Fitness Pareto Optimization
Ogawa Jun, Iizuka Hiroyuki, Yamamoto Masahito
Proceedings of JSPE Semestrial Meeting, 2017, 15, 16, The Japan Society for Precision Engineering, 2017
Japanese, Morphological evolution in evolutionary robotics is an important approach for discovering new robot systems and developmental histories of many creatures. Conventional evolutionary robotics used a rigid-bodied robot by human design in computer simulation to verify the effective robotic control systems. However, it is hard to apply the findings of the conventional evolutionary robotics approaches into the development of a real robot like a creature from the evolved robot because there is major difference between the dynamics of the virtual robot and the real robot. In this work, we propose a new method for evolving more complex and controllable soft-bodied robots without some developmental biases in order to get some innovative robotic findings by using the evolved virtual robot. This work found that the evolved soft-bodied robots have more versatility than most of conventional rigid-bodied robots and they got a lot of unintentional morphologies and behavior control systems like real creatures. - Mobile Robot Localization from First Person View Images based on Recurrent Convolutional Neural Network
SUGINAKA Izuho, IIZUKA Hiroyuki, YAMAMOTO Masahito
The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec), 2017, 2P2, F02, The Japan Society of Mechanical Engineers, 2017
Japanese,Many robots are pervading environments of human daily life. It is crucial for those robots to estimate the current self-positions. This is called robot localization. In this paper, we propose a method using a recurrent convolutional neural network (RCNN), which is known as one of deep learning, to achieve robot localization. RCNN is a neural network model that has a convolutional architecture known as CNN with recurrent nodes. We train RCNN to estimate the current position of a robot from the view images of the first person perspectives. Our experimental results show that the estimation error decrease when the successive view images are given and it can estimate the current position accurately.
- Reproduction of Swarm Behavior by Learning Individual Rules Using Neural Network
Yosuke Nakamoto, Hiroyuki Iizuka, Masahito Yamamoto
2017 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII), 847, 852, 2017
English, International conference proceedings - Robustness of Mobile Robot Localization using Recurrent Convolutional Neural Network
Izuho Suginaka, Hiroyuki Iizuka, Masahito Yamamoto
2017 21ST ASIA PACIFIC SYMPOSIUM ON INTELLIGENT AND EVOLUTIONARY SYSTEMS (IES), 95, 100, 2017
English, International conference proceedings - Reproduction of swarm behavior by learning individual rules using neural network.
Yosuke Nakamoto, Hiroyuki Iizuka, Masahito Yamamoto
847, 852, 2017
International conference proceedings - The development of spatial recognition and navigation in hierarchical recurrent neural network with convolution processing.
Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto
324, 331, 2017
International conference proceedings - Increasing Stability of Human Interaction Against Time Delay on Perceptual Crossing Experiment
Sohtaroh Saitoh, Hiroyuki Iizuka, Masahito Yamamoto
INTELLIGENT AND EVOLUTIONARY SYSTEMS, IES 2016, 8, 361, 369, 2017, [Peer-reviewed]
English, International conference proceedings - Intuitive control of mobile robots, an architecture for autonomous adaptive dynamic behaviour integration
Christos Melidis, Hiroyuki Iizuka, Davide Marocco
Cognitive Processing, 1, 20, 2017, [Peer-reviewed]
English, Scientific journal - Evolution of Swarm Formation Using Homogeneous Multi-Robots
Naohiro Shibuya, Hiroyuki Iizuka, Masahito Yamamoto
Proceedings of The 2nd International Symposium on Swarm Behavior and Bio-Inspired Robotics, 128, 133, 2017, [Peer-reviewed]
English, International conference proceedings - Establishing interaction between machine and medaka using deep Q-Network
Ryo Nishimura, Hiroyuki Iizuka, Masahito Yamamoto
BICT 2015 - 9th EAI International Conference on Bio-Inspired Information and Communications Technologies, 16, 9, e3, Association for Computing Machinery, Inc, 24 May 2016, [Peer-reviewed]
English, International conference proceedings - Mutual Learning Interface using the Segmentation of Actons
Saitoh Kentaro, Iizuka Hiroyuki, Yamamoto Masahito
Proceedings of JSPE Semestrial Meeting, 2016, 575, 576, The Japan Society for Precision Engineering, 2016
Japanese, ロボットの構造が複雑になるにつれて，操縦するためのインタフェースも複雑なものとなり，ユーザは複雑な操縦方法の学習を強いられる．本研究では人間の学習負荷が低い簡易なインタフェースにもかかわらず，複雑な構造のロボットを操縦できるインタフェースの作成手法を提案する．動作の分節化を利用して複数のインタフェースを切り替えて学習を行うことで，さまざまな動作を可能とするインタフェースを構築し評価する． - Proceedings in Adaptation, Learning and Optimization.
Sohtaroh Saitoh, Hiroyuki Iizuka, Masahito Yamamoto
361, 369, 2016
International conference proceedings - Twist-State Classifier for Floating Marine Biomass Based on Physical Simulation
Jun Ogawa, Hiroyuki Iizuka, Masahito Yamamoto, Masashi Furukawa
INTELLIGENT AUTONOMOUS SYSTEMS 13, 302, 821, 830, 2016, [Peer-reviewed]
English, International conference proceedings - Particle Swarm Optimization with Tour Representation for Solving Traveling Salesman Problems
HONJO Masaya, IIZUKA Hiroyuki, YAMAMOTO Masahito, FURUKAWA Masashi
Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, 28, 4, 744, 755, Japan Society for Fuzzy Theory and Intelligent Informatics, 2016, [Peer-reviewed]
Japanese, Scientific journal, In this paper, we propose a new Traveling Salesman Problem (TSP) solver based on Particle Swarm Optimization (PSO) Algorithm. PSO is one of the optimization methods classified into swarm intelligence, and consists of particles. Particles interact and move through solution space to find a better solution. PSO can find a good solution in a short time compared with Genetic Algorithm (GA) in many real-valued optimization problems. Because TSP is a combinatorial optimization problem, we change two points of the original PSO for solving TSP. The first point is that the position of each particle is represented by a tour instead of a vector. The second is that particles move by using Insertion method. Insertion method is an operation to combine a tour and sub-paths of other two tour. We analyze relation between parameters and length of an obtained tour, and indicate a guide to adjust parameters. The performance comparison result shows that the proposed method can find a better solution than Simulated Annealing (SA) and GA. - Detecting Collapsed Buildings using Convolutional Neural Network for Estimating the Disaster Debris Amount
利根川 凛, 飯塚 博幸, 山本 雅人, 古川 正志, 大内 東
情報処理学会論文誌, 57, 6, 1565, 1575, 2016, [Peer-reviewed]
Japanese, Scientific journal, 津波の被害に代表される大規模な家屋の倒壊が起こる災害時において，被災状況を把握できずに起きる復旧の遅延が問題となっている．津波により建造物の倒壊が起こり大量のがれきが発生すると，早急に輸送手段や仮置き場の位置や数の手配が必要になる．しかしながら，現状では被災地での被害状況の把握，被災がれき量の推定について短時間で行う手法は確立されていない．本研究では，震災後に撮影される被災地の空撮画像を複数用い，被災地の地図情報から家屋のある範囲を抽出し，畳み込みニューラルネットワークによる学習から，家屋倒壊判別を行う．結果として，東日本大震災で被災地となった10地域の空撮画像を利用し，約86%の正答率を得た．また，使用地域の中で，テストデータの判別正答率の悪かった地域のみをテストデータに絞った場合でも判別を行い，前実験の結果と比較して，より多くの地域，および，条件の画像データを用意すれば，判別器の正答率が向上する可能性を示した．When a massive earthquake that causes Tsunami happens, it is too difficult to get a full picture of the damages caused by the disaster and it causes the delay to recover from it. The debris generated by Tsunami or broken houses block roads and all transportation for people, rescue supply and bringing debris stop. In order to remove the debris and clear the roads, we need to decide which and how many spaces should be allocated for temporal storages immediately. However, there is no method to estimate the amount of generated debris and to get a full picture of the damage for a short time. This paper proposes a novel method that uses a convolutional neural network to classify images taken by a plane into damage or no-damage automatically. The network is trained with the images of 10 different areas stricken by the Great East Japan Earthquake. Our results shows that the trained network can correctly answer with about 86% and we found that the correct rates changes in response to the extents of the damages in different areas. The possibility to create a better network classifier is discussed in the end. - A novel approach to quantitative evaluation of tangle formations for seaweeds in stirrer cultivation
Jun Ogawa, Hiroyuki Iizuka, Masahito Yamamoto, Masashi Furukawa
Journal of Robotics and Mechatronics, 28, 1, 40, 49, Fuji Technology Press, 2016, [Peer-reviewed]
English, Scientific journal - Proposing Multimodal Integration Model Using LSTM and Autoencoder
Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto
EAI Endorsed Transactions on Security and Safety, 16, 10, e1, 1, 2016, [Peer-reviewed]
Scientific journal - 不確定性を含むデジタルカーリングにおけるゲーム木探索
加藤修, 飯塚博幸, 山本雅人
情報処理学会論文誌ジャーナル, 57, 11, 2354, 2364, 2016, [Peer-reviewed]
Japanese, Scientific journal - Proposing storage location assignment using self-organizing map on network topology
Kenichi Minami, Hiroyuki Iizuka, Masashi Furukawa, Masahito Yamamoto
Transactions of the Japanese Society for Artificial Intelligence, 30, 6, 737, 744, Japanese Society for Artificial Intelligence, 27 Oct. 2015, [Peer-reviewed]
Japanese, Scientific journal - Developing evaluation function of hex using board network characteristics and SVM
Takada Kei, Honjo Masaya, Iizuka Hiroyuki, Yamamoto Masahito
Transactions of the Japanese Society for Artificial Intelligence, 30, 6, 729, 736, Japanese Society for Artificial Intelligence, 27 Oct. 2015, [Peer-reviewed]
Japanese, Scientific journal - Time delay effect on social interaction dynamics
Hiroyuki Iizuka, Sohtaroh Saitoh, Davide Marocco, Masahito Yamamoto
HAI 2015 - Proceedings of the 3rd International Conference on Human-Agent Interaction, 217, 219, Association for Computing Machinery, Inc, 21 Oct. 2015, [Peer-reviewed]
English, International conference proceedings - Water Flow Control for Inhibiting Seaweed Twist in Real Environment and Physical Simulation
Jun Ogawa, Hiroyuki Iizuka, Masahito Yamamoto, Masashi Furukawa
Proceedings of the Twentieth International Symposium on Artificial Life and Robotics (AROB 20th 2015), 291, 296, Oct. 2015, [Peer-reviewed]
English, Scientific journal - Four-pole galvanic vestibular stimulation causes body sway about three axes
Kazuma Aoyama, Hiroyuki Iizuka, Hideyuki Ando, Taro Maeda
SCIENTIFIC REPORTS, 5, 10168, May 2015, [Peer-reviewed]
English, Scientific journal - Application of local clustering organization to reactive job-shop scheduling
Yasumasa Tamura, Hiroyuki Iizuka, Masahito Yamamoto, Masashi Furukawa
SOFT COMPUTING, 19, 4, 891, 899, Apr. 2015, [Peer-reviewed]
English, Scientific journal - ミニマックス法に基づく報酬伝搬を用いたモンテカルロ木探索法
三橋 允, 飯塚 博幸, 山本 雅人
精密工学会学術講演会講演論文集, 2015, 755, 756, 公益社団法人 精密工学会, 2015
Japanese, ゲーム木探索の中でもランダムなシミュレーションを繰り返すことで近似的な評価値を得るモンテカルロ木探索法と呼ばれる手法が存在する。しかしランダム性故に現実にはまず起こり得ないシミュレーション結果も評価に含まれてしまうことがあるため、数手に渡り正確な読みが必要となる局面は苦手とされている。そこでシミュレーション結果（報酬）をミニマックス的に伝搬することで、末端の情報を活用し評価精度の向上を目指す。 - 畳み込みニューラルネットワークを用いた群行動の分類
遠峰 孝太, 飯塚 博幸, 山本 雅人
精密工学会学術講演会講演論文集, 2015, 923, 924, 公益社団法人 精密工学会, 2015
Japanese, 群で生活する動物は蟻や魚等，数多く存在する．種により群の形態は様々であるが，同じ種の群の違いは一見するとわかりにくい．本研究では，群の全体的な振る舞いの違いが機械学習によって分類可能かどうかを検証する．分類器には，画像認識において高い成果を得ている畳み込みニューラルネットワークを動画が扱えるように拡張したものを用いて動画データから群のパターンの違いを識別することが有用であるかを検証する． - ゲーム木探索に基づくカーリングAIの開発
加藤 修, 飯塚 博幸, 山本 雅人
精密工学会学術講演会講演論文集, 2015, 915, 916, 公益社団法人 精密工学会, 2015
Japanese, カーリングは氷上のチェスと呼ばれる戦略性の高いゲームである．また，確率的要素を持ち，取り得る手と局面が無限に存在するゲームの研究材料として注目されている．近年，カーリングシミュレータが開発され，カーリングの戦略を解析することが可能となった．本研究では，実際の試合における時間的制約を考慮したゲーム木探索に基づくカーリングAIを開発し，その有効性をシミュレーションにより検証する． - Extended Local Clustering Organization with Rule-Based Neighborhood Search for Job-shop Scheduling Problem
Yasumasa Tamura, Hiroyuki Iizuka, Masahito Yamamoto
PROCEEDINGS OF THE 18TH ASIA PACIFIC SYMPOSIUM ON INTELLIGENT AND EVOLUTIONARY SYSTEMS, VOL 2, 465, 477, 2015, [Peer-reviewed]
English, International conference proceedings - Digital Curling Strategy based on Game Tree Search
Masahito Yamamoto, Shu Kato, Hiroyuki Iizuka
2015 IEEE CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND GAMES (CIG), 474, 480, 2015, [Peer-reviewed]
English, International conference proceedings - Developing Computer Hex Using Global and Local Evaluation Based on Board Network Characteristics
Kei Takada, Masaya Honjo, Hiroyuki Iizuka, Masahito Yamamoto
ADVANCES IN COMPUTER GAMES, ACG 2015, 9525, 235, 246, 2015, [Peer-reviewed]
English, International conference proceedings - Modeling the enlargement effect of countergcurrent stimulation on sway evoked by galvanic vestibular stimulation
青山一真, 青山一真, 飯塚博幸, 櫻井悟, 宮本靖久, 古川正紘, 古川正紘, 前田太郎, 前田太郎, 安藤英由樹, 安藤英由樹
日本バーチャルリアリティ学会論文誌, 20, 4, 291, 298, 2015, [Peer-reviewed]
Japanese, Scientific journal - Priority rule-based construction procedure combined with genetic algorithm for flexible job-shop scheduling problem
Soichiro Yokoyama, Hiroyuki Iizuka, Masahito Yamamoto
Journal of Advanced Computational Intelligence and Intelligent Informatics, 19, 6, 892, 899, Fuji Technology Press, 2015, [Peer-reviewed]
English, Scientific journal - Applying homeostatic neural controller to multi-legged robot and adaptivity to novel disruptions
Iizuka, H, Nakai, H, Yamamoto, M
Proceedings of the European Conference on Artificial Life, 264, 270, MIT Press, 2015, [Peer-reviewed]
English, International conference proceedings - Attraction basin sphere estimating genetic algorithm for neuroevolution problems
Zhuoran Xu, Hiroyuki Iizuka, Masahito Yamamoto
Artificial Life and Robotics, 19, 4, 317, 327, Springer-Verlag Tokyo, 10 Dec. 2014, [Peer-reviewed]
English, Scientific journal - Unconscious learning of auditory discrimination using mismatch negativity (MMN) neurofeedback
Ming Chang, Hiroyuki Iizuka, Yasushi Naruse, Hideyuki Ando, Taro Maeda
SCIENTIFIC REPORTS, 4, 6729, Oct. 2014, [Peer-reviewed]
English, Scientific journal - Using minimal human-computer interfaces for studying the interactive development of social awareness
Tom Froese, Hiroyuki Iizuka, Takashi Ikegami
FRONTIERS IN PSYCHOLOGY, 5, 1061, Sep. 2014, [Peer-reviewed]
English, Scientific journal - Alternating images of congruent and incongruent movement creates the illusion of agency
Takumi Yokosaka, Hiroyuki Iizuka, Tomoko Yonemura, Daisuke Kondo, Hideyuki Ando, Taro Maeda
SCIENTIFIC REPORTS, 4, 6201, Aug. 2014, [Peer-reviewed]
English, Scientific journal - Hybrid Genetic Algorithm with Priority Rule-based Reconstruction for Flexible Job-shop Scheduling
Soichiro Yokoyama, Hiroyuki Iizuka, Masahito Yamamoto
2014 JOINT 7TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS (SCIS) AND 15TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (ISIS), 749, 754, 2014, [Peer-reviewed]
English, International conference proceedings - Insertion-based Particle Swarm Optimization with Local Interaction
Masaya Honjo, Hiroyuki Iizuka, Masahito Yamamoto
2014 JOINT 7TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS (SCIS) AND 15TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (ISIS), 755, 760, 2014, [Peer-reviewed]
English, International conference proceedings - Swarm Behavior of Simulated Flapping Birds using Kuramoto Model
Ryota Kato, Hiroyuki Iizuka, Masahito Yamamoto
2014 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII), 112, 117, 2014, [Peer-reviewed]
English, International conference proceedings - An interface for unconscious learning using mismatch negativity neurofeedback
Ming Chang, Hiroyuki Iizuka, Yasushi Naruse, Hideyuki Ando, Taro Maeda
ACM International Conference Proceeding Series, 28:1-28:2, Association for Computing Machinery, 2014, [Peer-reviewed]
English, International conference proceedings - An interface for unconscious learning using mismatch negativity neurofeedback
Ming Chang, Hiroyuki Iizuka, Yasushi Naruse, Hideyuki Ando, Taro Maeda
ACM International Conference Proceeding Series, 109, 112, Association for Computing Machinery, 2014, [Peer-reviewed]
English, International conference proceedings - Priority rule-based reconstruction for total weighted tardiness minimization of job-shop scheduling problem
Soichiro Yokoyama, Hiroyuki Iizuka, Masahito Yamamoto
JOURNAL OF ADVANCED MECHANICAL DESIGN SYSTEMS AND MANUFACTURING, 8, 5, JAMDSM0073, 2014, [Peer-reviewed]
English, Scientific journal - ネットワーク指標を用いたコンピュータ Hex 戦略の開発
高田圭, 本庄将也, 飯塚博幸, 山本雅人
情報処理学会論文誌, 55, 11, 2421, 2430, 2014, [Peer-reviewed]
Japanese, Scientific journal - Enhancement effect of countecurrent using dead current strength in Galvanic Vestibular Stimulation(
VR/AR penetrating into service fields and daily lives)
Aoyama Kazuma, Ando Hideyuki, Iizuka Hiroyuki, Maeda Taro
Transactions of the Virtual Reality Society of Japan, 19, 3, 315, 318, THE VIRTUAL REALITY SOCIETY OF JAPAN, 2014, [Peer-reviewed]
Japanese, Scientific journal, In this work, we researched the human perceptual attribution for acceleration sensation evoked by Galvanic Vestibular Stimulation (GVS) and validated the enhancement effect of countercurrent using the dead current strength. In the results of experiments, we searched that the current threshold is 0.3 - 0.4mA by measuring the rate of correct directional perception. To validate the enhancement effect of countercurrent, we compared the rate of correct perception in long and short countercurrent and constant current. In the result, the rate of correct directional perception in long countercurrent is significantly higher than that of constant current in the dead current value. - Embodied social interaction constitutes social cognition in pairs of humans: A minimalist virtual reality experiment
Tom Froese, Hiroyuki Iizuka, Takashi Ikegami
SCIENTIFIC REPORTS, 4, 3672, Jan. 2014, [Peer-reviewed]
English, Scientific journal - 複雑系アプローチによる他者の認識とコミュニケーションの創発
飯塚博幸
計測と制御, 53, 9, 821, 827, 2014, [Invited]
Japanese - Learning Effect of Laparoscopy Training System using View-Sharing Technology and Verification for Practical Use(
VR for Medicine, Welfare, and Healthcare)
KONDO Daisuke, IIZUKA Hiroyuki, ANDO Hideyuki, OBAMA Kazutaka, SAKAI Yoshiharu, MAEDA Taro
Transactions of the Virtual Reality Society of Japan, 18, 4, 487, 496, 日本バーチャルリアリティ学会, 31 Dec. 2013
Japanese, We propose a novel training method for laparoscopy using view-sharing technology where the expert's skillful movements are superimposed on the learner's view. When learning the skill, the learner just traces the expert's movement as if they feel the skillful movements as their own. Our proposed method was evaluated in terms of time required for the task and the number of errors. The training effect was also tested with the doctors in training and the acquired skills were evaluated by the expert surgeon. - Investigating Extended Embodiment Using a Computational Model and Human Experimentation
Yuki Sato, Hiroyuki Iizuka, Takashi Ikegami
CONSTRUCTIVIST FOUNDATIONS, 9, 1, 73, +, Nov. 2013, [Peer-reviewed]
English, Scientific journal - Extended homeostatic adaptation model with metabolic causation in plasticity mechanismtoward constructing a dynamic neural network model for mental imagery
Hiroyuki Iizuka, Hideyuki Ando, Taro Maeda
ADAPTIVE BEHAVIOR, 21, 4, 263, 273, Aug. 2013, [Peer-reviewed]
English, Scientific journal - Investigating Segmentation of Continuous Motion in Memorizing using CNV-like Potentials(
Psychology, Measurement of Brain Function and VR)
Sunagawa Mika, Niwa Masataka, Iizuka Hiroyuki, Ando Hideyuki, Maeda Taro
Transactions of the Virtual Reality Society of Japan, 18, 1, 45, 54, 日本バーチャルリアリティ学会, 31 Mar. 2013
Japanese, This study aimed at investigating if CNV-Iike variations are elicited in Electroencephalograms (EEG) when people remember human continuous motion. It is known that there are some important postures in continuous human motion, and the segments divided by the significant postures attract human attention. Since the situation is similar to Event-related brain potential (ERP) experiments, we expected that brain wave variations like Contingent Negative Variation (CNV) would also be elicited during motion remembering. In this study, we found that negative variations tend to precede segments divided by manually selected significant postures. - Countercurrent enhances acceleration sensation in galvanic vestibular stimulation.
Kazuma Aoyama, Hiroyuki Iizuka, Hideyuki Ando, Taro Maeda
23rd International Conference on Artificial Reality and Telexistence, ICAT 2013, Tokyo, Japan, December 11-13, 2013, 116, 121, 2013, [Peer-reviewed] - Poster: Head Motion Transmission Based on Center of Rotation
Daisuke Kondo, Hiroyuki Iizuka, Hideyuki Ando, Taro Maeda
2013 IEEE SYMPOSIUM ON 3D USER INTERFACES (3DUI), 145, 146, 2013, [Peer-reviewed]
English, International conference proceedings - Detecting CNV-like variation when remembering and generating continuous motion
Hiroyuki Iizuka, Mika Sunagawa, Masataka Niwa, Hideyuki Ando, Taro Maeda
2013 IEEE VIRTUAL REALITY CONFERENCE (VR), 2013, [Peer-reviewed]
English, International conference proceedings - Experimental study on co-evolution of categorical perception and communication systems in humans
Hiroyuki Iizuka, Davide Marocco, Hideyuki Ando, Taro Maeda
Psychological Research, 77, 1, 53, 63, Jan. 2013, [Peer-reviewed]
English, Scientific journal - Basic Study of Supporting Ocular Movements by Galvanic Vestibular Stimulation
Hashimoto Yuki, Sugisaki Aru, Yonemura Tomoko, Iizuka Hiroyuki, Ando Hideyuki, Maeda Taro
Transactions of the Virtual Reality Society of Japan, 17, 1, 23, 32, 日本バーチャルリアリティ学会, 31 Mar. 2012
Japanese, Galvanic vestibular stimulation is known to cause ocular movement. However, the effects of GVS on ocular movements have only been investigated when gazing at a certain point, despite the fact that humans use two different strategies to follow moving targets: saccade and smooth pursuit. The effects of GVS may be different for these two strategies. This paper investigates the effects of GVS during saccade and smooth pursuit. The results show that GVS exerts different effects on each of these eye movement strategies. - Tumori Control : Manipulate Robot with detection and transmission of an Archetype of Behavioral Intention
Niwa Masataka, Iizuka Hiroyuki, Ando Hideyuki, Maeda Taro
Transactions of the Virtual Reality Society of Japan, 17, 1, 3, 10, 日本バーチャルリアリティ学会, 31 Mar. 2012
Japanese, We propose novel architecture to realize a low-degree of freedom (DOF) Tsumori controller to manipulate a high-DOF robot. We believe that humans can immerse themselves to manipulate a robot if the robot reflects user intention. In our Tsumori controller, the user intuitively operates a joystick, and the robot moves semi -autonomously and reflects the user's intention that is extracted from intuitive input sequences. In this paper, we explain how to extract Tsumori, which is an archetype of human behavioral intention, and how to realize a Tsumori controller. - Optimization for Inducing Multi-Degree of Freedom Motion by Information Presentation of One Degree of Freedom
Yoshito Kumakura, Yuki Hashimoto, Daisuke Kondo, Hiroyuki Iizuka, Hideyuki Ando, Taro Maeda
2012 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII), 410, 415, 2012, [Peer-reviewed]
English, International conference proceedings - Turn-taking Supports Humanlikeness and Communication in Perceptual Crossing Experiments - Toward developing human-like communicable interface devices
Hiroyuki Iizuka, Davide Marocco, Hideyuki Ando, Taro Maeda
IEEE VIRTUAL REALITY CONFERENCE 2012 PROCEEDINGS, 1, 4, 2012, [Peer-reviewed]
English, International conference proceedings - Pseudo-attraction Force Display Using Vibrating Motors - Design of asymmetric oscillation for generating an illusion of being pulled
Hidenori Hamaguchi, Masataka Niwa, Hiroyuki Iizuka, Hideyuki Ando, Taro Maeda
IEEE VIRTUAL REALITY CONFERENCE 2012 PROCEEDINGS, 1, 2, 2012, [Peer-reviewed]
English, International conference proceedings - A video see-through face mounted display for view sharing
Yuki Hashimoto, Daisuke Kondo, Tomoko Yonemura, Hiroyuki Iizuka, Hideyuki Ando, Taro Maeda
ACM SIGGRAPH 2012 Posters, SIGGRAPH'12, 115, ACM, 2012, [Peer-reviewed]
English, International conference proceedings - Effects of observed motion speed on segmenting behavioral intention
Hideyuki Ando, Masataka Niwa, Hiroyuki Iizuka, Taro Maeda
Proceedings - IEEE International Workshop on Robot and Human Interactive Communication, 304, 307, IEEE, 2012, [Peer-reviewed]
English, International conference proceedings - Co-creativity of communication system on behavioral interaction
Hiroyuki Iizuka, Hideyuki Ando, Taro Maeda, Davide Marocco
Proceedings - IEEE International Workshop on Robot and Human Interactive Communication, 298, 303, IEEE, 2012, [Peer-reviewed]
English, International conference proceedings - Emergence of Communication and Turn-taking Behavior in Nonverbal Interaction
IIZUKA Hiroyuki, ANDO Hideyuki, MAEDA Taro
The Transactions of the Institute of Electronics, Information and Communication Engineers. A, 95, 1, 165, 174, 一般社団法人電子情報通信学会, 01 Jan. 2012
Japanese, 人と人工システムの調和的な相互作用の成立を目指し,本論文では人同士が行う相互行為からなるコミュニケーションに焦点を当てる.言語コミュニケーションを含む日常の人同士の相互作用は多くのモダリティを含み,解析が困難なものとなり,かつ,我々が日常使っているために多くの先入観を含み対象として適さない.そのため,相互作用を簡単な身体の運動と知覚に十分に制限し,2者間においてあらかじめ意味が与えられていない身体的相互作用からコミュニケーションが成立していく過程を調べることによって,人同士のコミュニケーションの背後にある身体的相互作用のダイナミクスを明らかにする.実験では,相手が人かどうかを判断することだけを目的にしているにもかかわらず,人の言語コミュニケーションに見られる時間的役割の転換であるターンテイキングが,身体的相互作用に創発することを示す. - Identification of factors related to occurrence of "Shikkuri" Feeling at Pitching
Hashimoto Yuki, Kumakura Yoshito, Yonemura Tomoko, Iizuka Hiroyuki, Ando Hideyuki, Maeda Taro
Transactions of the Virtual Reality Society of Japan, 16, 4, 633, 641, 日本バーチャルリアリティ学会, 31 Dec. 2011
Japanese, We sometimes experience a positive feeling during playing sports/exercising without knowing the consequences of the motions. The feeling is called "Shikkuri", which is an onomatopoeia in Japanese which is considered an important feeling when learning motion skills. Some coaches already use this onomatopoeia in motion skill training. However it is not clear at all how and when the feeling arises. Our aim is to clarify the mechanism of the feeling and to exploit the feeling for teaching motion skills. As the first step toward our goal, we identify the factors related to perception of the Shikkuri feeling in the case of pitching. - Effects of CPR training using the view sharing system
Yonemura Tomoko, Hashimoto Yuki, Kondo Daisuke, Niwa Masataka, Iizuka Hiroyuki, Ando Hideyuki, Maeda Taro
Transactions of the Virtual Reality Society of Japan, 16, 4, 623, 632, 日本バーチャルリアリティ学会, 31 Dec. 2011
Japanese, This paper investigates the learning effects of the Cardio Pulmonary Resuscitation (CPR) using the view-sharing system that can blend the views from the first person perspective of the instructor and the learner. The usual way of learning the CPR procedures is watching the video of instructor's action recorded from the third person perspective and trying CPR. However, there are difficulties for learners in the third person perspective video to recognize where the trainer pays attention and what he/she checks. Therefore, we clarify how the first person perspective helps for learning of CPR. As a result, we found that learners wearing our view-sharing system make better performances than the conventional method and can easily recognize their mistakes of procedures. We discuss about effects of skill training using the first person perspective by the view-sharing system. - Fingernail-mounted Display of Attraction Force and Texture
Niwa Masataka, Hamaguchi Hidenori, Iizuka Hiroyuki, Maeda Taro, Ando Hideyuki
Transactions of the Virtual Reality Society of Japan, 16, 3, 409, 414, 日本バーチャルリアリティ学会, 30 Sep. 2011
Japanese, The paper studies two methods of haptic. One is an attraction force display that can induce attraction force by a cyclic movement of a weight with asymmetric acceleration. Another is a texture display that induces a sensation of texture by giving off vibration while a subject traces a finger over a flat surface. In this paper, we propose a novel design that can induce both attraction force and texture feeling. The prototype consists of four vibration motors, which are controlled to generate asymmetric acceleration and vibration. The device is evaluated by experiments. - A method to transmit tactile information by nail-mounted vibration for active touch
Hashimoto Yuki, Yumura Takeshi, Yonemura Tomoko, Iizuka Hiroyuki, Maeda Taro, Ando Hideyuki
Transactions of the Virtual Reality Society of Japan, 16, 3, 399, 408, 日本バーチャルリアリティ学会, 30 Sep. 2011
Japanese, We propose a method to transmit tactile information from one person to another using nail-mounted tactile display. Our proposed method conveys tactile information that is obtained by detecting the vibration on the nail of a sender when tracing a texture, and generates a vibration on the nail of a receiver to re-create the tactile perception while the subject tracing on a flat surface. In this paper, we reported about measuring method of tactile information, control method of actuator and developing a new actuator in order to share tactile perceptions with two people. - Inducing human motion by visual manipulation
Shin Okamoto, Hiroki Kawasaki, Hiroyuki Iizuka, Takumi Yokosaka, Tomoko Yonemura, Yuki Hashimoto, Hideyuki Ando, Taro Maeda
ACM International Conference Proceeding Series, 32, ACM, 2011, [Peer-reviewed]
English, International conference proceedings - Effective galvanic vestibular stimulation in synchronizing with ocular movement
Aru Sugisaki, Yuki Hashimoto, Tomoko Yonemura, Hiroyuki Iizuka, Hideyuki Ando, Taro Maeda
ACM International Conference Proceeding Series, 28, ACM, 2011, [Peer-reviewed]
English, International conference proceedings - View sharing system for motion transmission
Daisuke Kondo, Keitaro Kurosaki, Hiroyuki Iizuka, Hideyuki Ando, Taro Maeda
ACM International Conference Proceeding Series, 26, ACM, 2011, [Peer-reviewed]
English, International conference proceedings - Coordinated behavior between visually coupled dyads
Hiroyuki Iizuka, Daisuke Kondo, Hiroki Kawasaki, Hideyuki Ando, Taro Maeda
ACM International Conference Proceeding Series, 23, ACM, 2011, [Peer-reviewed]
English, International conference proceedings - Skill transmission for hand positioning task through view-sharing system
Keitaro Kurosaki, Hiroki Kawasaki, Daisuke Kondo, Hiroyuki Iizuka, Hideyuki Ando, Taro Maeda
ACM International Conference Proceeding Series, 20, ACM, 2011, [Peer-reviewed]
English, International conference proceedings - Parasitic Humanoid: The wearable robotics as a behavioral assist interface like oneness between horse and rider
Taro Maeda, Hideyuki Ando, Hiroyuki Iizuka, Tomoko Yonemura, Daisuke Kondo, Masataka Niwa
ACM International Conference Proceeding Series, 18, ACM, 2011, [Peer-reviewed]
English, International conference proceedings - Bongard,J., The utility of evolving simulated robot morphology increases with task complexity for object manipulation(複雑な作業の実行には身体形状と身体制御の相互作用が鍵を握っている), J. of Artificial Life, Vol.16, Issue 3, MIT Press, 2010
飯塚 博幸
人工知能学会誌, 25, 5, 743, 745, 社団法人人工知能学会, Sep. 2010, [Invited]
Japanese - 2 Real-World-Oriented Interface Based on Embodiment(
Recent Trends in Real-world Interface Systems)
IIZUKA Hiroyuki, NIWA Masataka, KONDO Daisuke, ANDO Hideyuki, MAEDA Taro
IPSJ Magazine, 51, 7, 767, 774, 一般社団法人情報処理学会, Jul. 2010
Japanese, ユーザの身体性を考慮し，自然かつ直観的に感覚や意図を伝送するためのインタフェースを紹介する．本稿では，従来のインタフェースでは表現することの困難な空間知覚，運動感覚やスキル，意図を取り上げる．感覚を伝送するためには運動レベルでの作用が必要であり，いかにして運動に働きかけることのできるインタフェースを実現するかを解説する．また，ヒトの意図は直観的な振舞いにおける運動に現れるため，それを検出する手法について述べる． - Collaboration and Skill Transmission by First-person Perspective View Sharing System
Hiroki Kawasaki, Hiroyuki Iizuka, Shin Okamoto, Hideyuki Ando, Taro Maeda
2010 IEEE RO-MAN, 125, 131, 2010, [Peer-reviewed]
English, International conference proceedings - 超身体感覚
前田 太朗, 安藤 英由樹, 飯塚 博幸
日本バーチャルリアリティ学会誌 = Journal of the Virtual Reality Society of Japan, 14, 2, 99, 103, 30 Jun. 2009
Japanese - Performance Evaluation of Recommendation Algorithms Based on Rating-recommendation Interaction
山下 晃弘, 川村 秀憲, 飯塚 博幸
情報処理学会論文誌 論文誌トランザクション, 2008, 2, 47, 57, 情報処理学会, Apr. 2009
Japanese - Performance Evaluation of Recommendation Algorithms Based on Rating-recommendation Interaction
Akihiro Yamashita, Hidenori Kawamura, Hiroyuki Iizuka, Azuma Ohuchi
情報処理学会論文誌. 数理モデル化と応用, 2, 2, 47, 57, 一般社団法人情報処理学会, 27 Mar. 2009
Japanese, The problem of information overload spreading across the Internet has been causing serious inefficiency in browsing and searching for information. As a way to overcome the problem, the recommender systems are recently used in many E-commerce sites. Many algorithms have been proposed to improve the accuracy of recommendation based on user ratings. The relation between recommender systems and users is rather interactive in the sense that recommendations decides which items are recommended to users and the results of ratings by users will affect the next recommendations. However, conventional studies have not considered the interactive aspects so much. Therefore, our aim of this paper is to propose a new evaluation model using multiagent modeling where the recommender system and agents (as users) interacts with each other. The properties of typical recommendation algorithms such as user-based and itembased collaborative filtering will be analyzed with our proposed model. Our results also suggest the possibilities to propose a novel and effective recommendation algorithm. - Cooperative control of multiple neural networks for an indoor blimp robot
Hidenori Kawamura, Hiroyuki Iizuka, Toshihiko Takaya, Azuma Ohuchi
Artificial Life and Robotics, 13, 2, 504, 507, 2009, [Peer-reviewed]
English, Scientific journal - The Anticipation of Human Behavior Using "Parasitic Humanoid"
Hiroyuki Iizuka, Hideyuki Ando, Taro Maeda
HUMAN-COMPUTER INTERACTION, PT III, 5612, 284, 293, 2009, [Peer-reviewed]
English, International conference proceedings - Wearable robotics as a behavioral assist interface like oneness between horse and rider
Taro Maeda, Hideyuki Ando, Hiroyuki Iizuka
ACM International Conference Proceeding Series, 81, 88, ACM, 2009, [Peer-reviewed]
English, International conference proceedings - Simulation and implement of memory-based PID control for indoor blimp robot
Yoshifumi Yamagata, Hidenori Kawamura, Azuma Ohuchi, Toshihiko Takaya, Hiroyuki Iizuka
Proceedings of the 13th International Symposium on Artificial Life and Robotics, AROB 13th'08, 151, 154, 2008
English, International conference proceedings - Cooperative control of multiple neural networks for indoor blimp robot
Ryouta Nishioka, Hidenori Kawamura, Azuma Ohuchi, Toshihiko Takaya, Hiroyuki Iizuka
Proceedings of the 13th International Symposium on Artificial Life and Robotics, AROB 13th'08, 131, 134, 2008
English, International conference proceedings - Turn-taking interaction as a Cooperative and Co-creative Process
Takashi Ikegami, Hiroyuki Iizuka
INFANT BEHAVIOR & DEVELOPMENT, 30, 2, 278, 288, May 2007, [Peer-reviewed]
English, Scientific journal - Simulated turn-taking and development of styles of motion
Takashi Ikegami, Hiroyuki Iizuka
Imitation and Social Learning in Robots, Humans and Animals: Behavioural, Social and Communicative Dimensions, 301, 322, Cambridge University Press, 01 Jan. 2007, [Peer-reviewed]
English, In book - Toward spinozist robotics: Exploring the minimal dynamics of Behavioral preference
Hiroyuki Iizuka, Ezequiel A. Di Paolo
ADAPTIVE BEHAVIOR, 15, 4, 359, 376, 2007, [Peer-reviewed]
English, Scientific journal - Effect of the Number of Users and Bias of Users' Preference on Recommender Systems.
Akihiro Yamashita, Hidenori Kawamura, Hiroyuki Iizuka, Azuma Ohuchi
Intelligent Data Engineering and Automated Learning - IDEAL 2007(IDEAL), 1112, 1121, 1112, 1121, Springer, 2007, [Peer-reviewed]
Japanese, International conference proceedings - Emergence of body image and dichotomy of sensory and motor activity
Hiroyuki Iizuka, Takashi Ikegami
AISB'05 Convention: Proceedings of the Symposium on Next Generation Approaches to Machine Consciousness: Imagination, Development, Intersubjectivity and Embodiment, 104, 109, 2005
English, International conference proceedings - Simulating autonomous coupling in discrimination of light frequencies
Hiroyuki Iizuka, Takashi Ikegami
Connection Science, 16, 4, 283, 299, Dec. 2004, [Peer-reviewed]
English, Scientific journal - Adaptability and diversity in simulated turn-taking behavior
Hiroyuki Iizuka, Takashi Ikegami
Artificial Life, 10, 4, 361, 378, Sep. 2004, [Peer-reviewed]
English, Scientific journal - Adaptive coupling and intersubjectivity in simulated turn-taking behaviour
Hiroyuki Iizuka, Takashi Ikegami
Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 2801, 336, 345, Springer Verlag, 2003
English, International conference proceedings - Harmony Team.
Hiroyuki Iizuka, Masatoshi Hiramoto, Hidenori Kawamura, Masahito Yamamoto, Azuma Ohuchi
RoboCup 2000: Robot Soccer World Cup IV, 449, 452, Springer, 2000, [Peer-reviewed]
International conference proceedings - Learning of words in negotiation between autonomous agents
Hiroyuki Iizuka, Keiji Suzuki, Masahito Yamamoto, Azuma Ohuchi
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 2, IEEE, 1999
English, International conference proceedings
Other Activities and Achievements
- Acquiring Peripersonal Space Representation Shared Between Vision and Touch by Transformer Autoencoder
Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto, 2023年度人工知能学会全国大会（第37回）論文集, Jun. 2023
Japanese, Summary national conference - 無意識に英語のリスニング能力を向上できるニューロフィードバック手法
CHANG Ming, 飯塚博幸, 成瀬康, 古川正紘, 古川正紘, 安藤英由樹, 安藤英由樹, 前田太郎, 前田太郎, ヒューマンインタフェースシンポジウム論文集(CD-ROM), 2017, 2017 - 無意識などの言語化が困難な情報を伝えるヒューマンインタフェースを目指して 無意識的に言語音知覚能力の向上のためのニューロフィードバック手法
常明, 飯塚博幸, 成瀬康, 古川正紘, 安藤英由樹, 前田太郎, ヒューマンインタフェース学会誌, 19, 1, 2017 - Stability of Social Interaction with Different Time Delay of Perception and Movement in Perceptual Crossing Experiment
齋藤 宗太郎, 飯塚 博幸, 山本 雅人, 知識ベースシステム研究会, 107, 13, 18, 01 Mar. 2016
人工知能学会, Japanese - Design of Ambient Intelligent System for Supporting Human's Natural Adaption(
Cognitive Interaction Design)
IMAI Michita, ONO Tetsuo, SHINOZAWA Kazuhiko, OSAWA Hirotaka, IIZUKA Hiroyuki, SUZURIKAWA Jun, Michita Imai, Tetsuo Ono, Kazuhiko Shinozawa, Hirotaka Osawa, Hiroyuki Iizuka, Jun Suzurikawa, Journal of the Japanese Society for Artificial Intelligence, 31, 1, 43, 49, 01 Jan. 2016
The Japanese Society for Artificial Intelligence, Japanese - 22aBS-10 Embodied dynamics for sensing other's presence
Kojima H., Oka M., Iizuka H., Ikegami T., Meeting Abstracts of the Physical Society of Japan, 71, 3088, 3088, 2016
The Physical Society of Japan, Japanese - バルーンロボットにおけるニューラルネットワークを用いたPID制御
永田紘也, 飯塚博幸, 山本雅人, 鈴木恵二, 川村秀憲, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2016, 2016 - ニューラルネットワークを用いたバルーンロボット制御
永田紘也, 飯塚博幸, 山本雅人, 鈴木恵二, 川村秀憲, 情報処理学会研究報告(Web), 2016, ICS-184, 2016 - 人工ニューラルネットワークを用いた動的スケジューリング問題の解法
横山想一郎, 飯塚博幸, 山本雅人, 計測自動制御学会システムインテグレーション部門講演会(CD-ROM), 17th, 2016 - JSPに対するタブーサーチ法におけるタブーリストの長さと解探索性能の関係
斎藤渉, 横山想一郎, 飯塚博幸, 山本雅人, 計測自動制御学会システムインテグレーション部門講演会(CD-ROM), 17th, 2016 - F-017 A Look-ahead method for curling with the probabilistic aspects
Kato Shu, Iizuka Hiroyuki, Yamamoto Masahito, 情報科学技術フォーラム講演論文集, 14, 2, 313, 314, 24 Aug. 2015
Forum on Information Technology, Japanese - O-024 Automatic Detection of Collapsed Buildings using Image Analysis for Estimating Disaster Debris Amount
Tonegawa Rin, Iizuka Hiroyuki, Yamamoto Masahito, Furukawa Masashi, Ohchi Azuma, 情報科学技術フォーラム講演論文集, 14, 4, 479, 480, 24 Aug. 2015
Forum on Information Technology, Japanese - 1P1-G08 Occurrence of Rubber Hand Illusion by Asynchronous Stimulation using the Reversal of Temporal Order Judgment of Tactile Stimulation
UCHINO Keisuke, IIZUKA Hiroyuki, YAMAMOTO Masahito, ロボティクス・メカトロニクス講演会講演概要集, 2015, "1P1, G08(1)"-"1P1-G08(4)", 17 May 2015
Rubber Hand Illusion (RHI) is a phenomenon that a subject feels that a rubber hand (dummy hand) is their own when the rubber hand and the real hand are stroked synchronously and the subject receives the consistent sensory inputs between visual and tactile sensations. The consistent visuo-tactile sensation is a necessary condition for RHI, however we report that RHI can be induced by an asynchronous stimulations between visual and tactile sensations. In our experiments, the subject is required to cross their arms and given successive stimulations on their each hand. Our experiment is conducted in virtual environment. It is known that such stimulations cause the mis-temporal order judgment. Our results support that arm-crossing confuses the body image and the asynchronous stimulations can induce RHI., The Japan Society of Mechanical Engineers, Japanese - 2A1-M01 Analysis of AI that can Establish Human Interaction in Perceptual Crossing Experiment
SAITOH Sohtaroh, IIZUKA Hiroyuki, YAMAMOTO Masahito, ロボティクス・メカトロニクス講演会講演概要集, 2015, "2A1, M01(1)"-"2A1-M01(4)", 17 May 2015
Perceptual Crossing experiment has been proposed to analyse the human social interaction with low dimensional sensation and motion. The previous study shows that human subjects can distinguish the partner with the distracted moving objects by coordinated behaviors established in two. In order to investigate the coordinated behavior established by human subjects, we design different types of AI programs and test how those programs can interact with human subjects. Our result shows that the turn-taking type AI program is better to reproduce human social interaction., The Japan Society of Mechanical Engineers, Japanese - Development of Curling AI Program Considering the Probabilistic Features of the Strategy
加藤 修, 飯塚 博幸, 山本 雅人, 知識ベースシステム研究会, 104, 7, 12, 01 Mar. 2015
人工知能学会, Japanese - FAN-14-034 Investigation Effective Parameters for Storage Location Assignment Using Self-Organizing Map.
MINAMI Kenichi, IIZUKA Hiroyuki, YAMAMOTO Masahito, FAN Symposium : Intelligent System Symposium-fuzzy, AI, neural network applications technologies, 2014, 24, 152, 155, 18 Sep. 2014
The Japan Society of Mechanical Engineers, Japanese - FAN-14-022 Modeling of the bird group behavior using the Kuramoto model
KATO Ryota, IIZUKA Hiroyuki, YAMAMOTO Masahito, FAN Symposium : Intelligent System Symposium-fuzzy, AI, neural network applications technologies, 2014, 24, 100, 103, 18 Sep. 2014
The Japan Society of Mechanical Engineers, Japanese - FAN-14-048 Co-evolution of adaptive behavior and muscle structure using a musculo-skeletal model
MATSUBAYASHI Ryohei, IIZUKA Hiroyuki, YAMAMOTO Masahito, FAN Symposium : Intelligent System Symposium-fuzzy, AI, neural network applications technologies, 2014, 24, 210, 213, 18 Sep. 2014
The Japan Society of Mechanical Engineers, Japanese - A method for Unconscious Learning using Mismatch Negativity Neurofeedback on pitch discrimination
常 明, 飯塚 博幸, 成瀬 康, 日本バーチャルリアリティ学会大会論文集 Proceedings of the Virtual Reality Society of Japan, Annual Conference, 19, 480, 483, 17 Sep. 2014
[日本バーチャルリアリティ学会], Japanese - 1-D-6 割付け規則を用いた遺伝的局所探索によるJSPの解法(スケジューリング(2))
田村 康将, 飯塚 博幸, 山本 雅人, 日本オペレーションズ・リサーチ学会秋季研究発表会アブストラクト集, 2014, 66, 67, 28 Aug. 2014
公益社団法人日本オペレーションズ・リサーチ学会, Japanese - 1-D-7 ジョブショップ問題の重み付き納期遅れ最小化に対する割付け規則を用いた近似解法の提案(スケジューリング(2))
横山 想一郎, 飯塚 博幸, 山本 雅人, 日本オペレーションズ・リサーチ学会秋季研究発表会アブストラクト集, 2014, 68, 69, 28 Aug. 2014
公益社団法人日本オペレーションズ・リサーチ学会, Japanese - Co-creative User Interface Developed by Mutual Learning of Human and Machine
Iizuka Hiroyuki, Saitoh Kentaro, Yamamoto Masahito, 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 114, 85, 17, 22, 16 Jun. 2014
The complexity of user interfaces is increasing as the complexity of robot structures becomes higher. This paper proposes a co-creative user interface that can easily control the complex-structured robots despite that the structure of an input device keeps simple. The user interface can be developed through both machine and human learning. The co-creation improves the interface and decreases the learning load of the users. The proposed method is evaluated in terms of controllability of the multi-legged robot. In the end, we discuss co-creation on the user interface., The Institute of Electronics, Information and Communication Engineers, Japanese - 1A1-L03 An Approximate Method based on Genetic Algorithm and Dispatching Rules for Job-shop Scheduling Problem(Evolution and Learning for Robotics)
TAMURA Yasumasa, IIZUKA Hiroyuki, YAMAMOTO Masahito, ロボティクス・メカトロニクス講演会講演概要集, 2014, "1A1, L03(1)"-"1A1-L03(4)", 24 May 2014
The job-shop scheduling problem (JSP) is one of the combinatorial optimizations and one of the most difficult order decision problems. Many approximate algorithms, which are heuristic methods or metaheuristics, are studied to solve JSP, because JSP is categorized into NP-hard problems. The application of the dispatching rules is known as a practical heuristic for JSP or many other scheduling problems. This study proposes an extended algorithm for JSP based on the genetic algorithm and a novel local search method using the dynamic dispatching rules. The extended algorithm searches for effective dispatching rules along with schedules according to the genetic algorithm. Also the schedules are partially modified by the rules in every generation. In order to verify the effectiveness of the proposed algorithm, this paper shows the result of numerical experiments., The Japan Society of Mechanical Engineers, Japanese - 1A1-K06 Characterizing the Twist of Seaweeds for Controlling the Water Flow(Evolution and Learning for Robotics)
OGAWA Jun, IIZUKA Hiroyuki, YAMAMOTO Masahito, FURUKAWA Masashi, ロボティクス・メカトロニクス講演会講演概要集, 2014, "1A1, K06(1)"-"1A1-K06(4)", 24 May 2014
Twist of seaweeds is one of the physical problems that disturb the growth of the seaweeds in the marine biomass cultivation. This study aims to evaluate the twist of seaweeds in a quantitative way. There is no computational model to simulate dynamics of the twist of seaweeds. In this study, we create the physical model of the seaweeds using physics simulation and the states between seaweed individuals are characterized with feature vectors, which is composed the physical, geometrical, and time factors. The measure of twist can be defined as the number of features and classifies a state between individuals into "twist state" or "non-twist state"., The Japan Society of Mechanical Engineers, Japanese - Strategy of Hex using betweenness centrality in board network
TAKADA Kei, HONJO Masaya, IIZUKA Hiroyuki, YAMAMOTO Masahito, IEICE technical report. Artificial intelligence and knowledge-based processing, 113, 459, 7, 12, 03 Mar. 2014
Hex is a simple board game for two players, but the game strategy becomes very complicated. It is known that all positions of Hex can be represented as two networks. The betweenness centrality in the networks is believed to be effective to evaluate the possible next moves as a Hex strategy, but it is not enough. The conventional studies showed that the shortest path between edges is also important. Therefore, we proposed the evaluation function that can evaluate the betweenness centrality and the shortest path at the same time. Our results of games with Hexy or UCT algorithms showed that the proposed method effectively evaluates the current situations of games with those mixed network indices and becomes stronger., The Institute of Electronics, Information and Communication Engineers, Japanese - ジョブショップ問題の重み付き納期遅れ最小化に対する割付け規則を用いた近似解法の提案
横山想一郎, 飯塚博幸, 山本雅人, 日本オペレーションズ・リサーチ学会秋季研究発表会アブストラクト集, 2014, 2014 - JSPに対する部分的な割り付け規則の適用による局所探索法の提案
横山想一郎, 飯塚博幸, 山本雅人, 日本機械学会ロボティクス・メカトロニクス講演会講演論文集(CD-ROM), 2014, 2014 - Authors' Response: From Bodily Extension to Bodily Incorporation
Yuki Sato, Hiroyuki Iizuka, Takashi Ikegami, CONSTRUCTIVIST FOUNDATIONS, 9, 1, 89, 90, Nov. 2013
English, Others - OS-20 「私」の境界と意味の現れへの構成論的アプローチ(オーガナイズドセッション,<特集>2013年度人工知能学会全国大会(第27回))
飯塚 博幸, 宇野 良子, 人工知能学会誌, 28, 6, 950, 950, 01 Nov. 2013
社団法人人工知能学会, Japanese - A study on extended telexistence using mirrored whole-body avatar
近藤 大祐, 飯塚 博幸, 安藤 英由樹, 日本バーチャルリアリティ学会大会論文集 Proceedings of the Virtual Reality Society of Japan, Annual Conference, 18, 285, 288, 18 Sep. 2013
[日本バーチャルリアリティ学会], Japanese - Modeling of teaching motion in skill transfer with sharing first person perspectives
北尾 太嗣, 近藤 大祐, 飯塚 博幸, 日本バーチャルリアリティ学会大会論文集 Proceedings of the Virtual Reality Society of Japan, Annual Conference, 18, 347, 350, 18 Sep. 2013
[日本バーチャルリアリティ学会], Japanese - From synthetic modeling of social interaction to dynamic theories of brain-body-environment-body-brain systems
Tom Froese, Hiroyuki Iizuka, Takashi Ikegami, BEHAVIORAL AND BRAIN SCIENCES, 36, 4, 420, 421, Aug. 2013
English, Others - 画像合成・切替を用いた腹腔鏡手術トレーニングシステムと評価手法の提案(コミュニケーション支援及びヒューマン情報処理一般)
安藤 英由樹, 近藤 大祐, 飯塚 博幸, 小濱 和貴, 坂井 義治, 前田 太郎, 電子情報通信学会技術研究報告. HCS, ヒューマンコミュニケーション基礎, 113, 72, 195, 200, 23 May 2013
腹腔鏡下手術とは,腹腔にカメラと鉗子等を刺入して行う外科手術であり,開腹手術と比べて低侵襲性であるが,難易度が高く熟練医が不足していることが大きな問題である.従来のトレーニングツールはボックストレーナやシミュレータなどあるものの,模擬環境での繰り返し学習が中心で,どのように熟練者のスキルを学習させるかについては考慮されておらず,長期の学習時間を要する,悪い癖がつくなどの問題を抱えていた.そこで,我々は内視鏡外科手術は術野像がモニタによって同じ視野が「共有される」という特性を利用して,段階的な学習ステップに応じた,熟練者の適切かつスムースな動きを修練者の間で共有することで,非言語的なスキルのコミュニケーションを図り,効果的なトレーニングを行う手法を提案し,また効果的な評価方法について議論する., 一般社団法人電子情報通信学会, Japanese - 画像合成・切替を用いた腹腔鏡手術トレーニングシステムと評価手法の提案(コミュニケーション支援及びヒューマン情報処理一般)
安藤 英由樹, 近藤 大祐, 飯塚 博幸, 小濱 和貴, 坂井 義治, 前田 太郎, 電子情報通信学会技術研究報告. HIP, ヒューマン情報処理, 113, 73, 195, 200, 23 May 2013
腹腔鏡下手術とは,腹腔にカメラと鉗子等を刺入して行う外科手術であり,開腹手術と比べて低侵襲性であるが,難易度が高く熟練医が不足していることが大きな問題である.従来のトレーニングツールはボックストレーナやシミュレータなどあるものの,模擬環境での繰り返し学習が中心で,どのように熟練者のスキルを学習させるかについては考慮されておらず,長期の学習時間を要する,悪い癖がつくなどの問題を抱えていた.そこで,我々は内視鏡外科手術は術野像がモニタによって同じ視野が「共有される」という特性を利用して,段階的な学習ステップに応じた,熟練者の適切かつスムースな動きを修練者の間で共有することで,非言語的なスキルのコミュニケーションを図り,効果的なトレーニングを行う手法を提案し,また効果的な評価方法について議論する., 一般社団法人電子情報通信学会, Japanese - 1A2-C05 Learning Support using Self-Other Motion Overlapping for Laparoscopy Training(Medical Robotics and Mechatronics (2))
KONDO Daisuke, IIZUKA Hiroyuki, ANDO Hideyuki, OBAMA Kazutaka, SAKAI Yoshiharu, MAEDA Taro, ロボティクス・メカトロニクス講演会講演概要集, 2013, "1A2, C05(1)"-"1A2-C05(4)", 22 May 2013
We are developing laparoscopy training system, by adding a video synthesize functions on the conventional training box. The video of the expert's motion is shown on the monitor and is overwrapped onto the user's own view. the user can trace the expert's motion with one's forceps to learn ideal procedures. Our proposed method was evaluated in terms of learning effectiveness., The Japan Society of Mechanical Engineers, Japanese - 2A1-F04 Real-time Extracting and Transmitting Behavioral Intentions for Tsumori-Controller(Cooperation between Human and Machine)
IIZUKA Hiroyuki, SHIMOYAMA Tohma, NIWA Masataka, ANDO Hideyuki, Maeda Taro, ロボティクス・メカトロニクス講演会講演概要集, 2013, "2A1, F04(1)"-"2A1-F04(4)", 22 May 2013
This paper investigates how to extract and transmit behavioral intentions of users from intuitive inputs of Tsumori controller. We performed two experiments. The first experiment clarified how much the robot can be delayed to start moving toward operator's input without losing operator's agency, the feeling that they are initiating the motion. The second experiment compared fundamental two real-time algorithms to select robot segmented motion and showed that the average method could be better to stabilize the operator's intuitive input. Our results are discussed in terms of agency and real-time operation for Tsumori controller., The Japan Society of Mechanical Engineers, Japanese - ストロボ照明下における自己上肢運動の随意性の変化(日本基礎心理学会第31回大会,大会発表要旨)
米村 朋子, 横坂 拓巳, 近藤 大祐, 橋本 悠希, 飯塚 博幸, 安藤 英由樹, 前田 太郎, 基礎心理学研究, 31, 2, 222, 222, 30 Mar. 2013
日本基礎心理学会, Japanese - HAI Technology That Subconsciously Connects with Human(
Special Issue on HAI That Moves Humans)
Ando Hideyuki, Iizuka Hiroyuki, Journal of Japanese Society for Artificial Intelligence, 28, 2, 310, 317, 01 Mar. 2013
The Japanese Society for Artificial Intelligence, Japanese - 3Dマルチスリットディスプレイにおけるオブジェクトの3次元移動知覚特性
平原誠一郎, 飯塚博幸, 前田太郎, 渡邊淳司, 安藤英由樹, 日本バーチャルリアリティ学会大会論文集(CD-ROM), 18th, 2013 - 実物体とのなぞりによって生じる指腹振動に基づいたフィードバック制御を用いた爪装着型触覚提示
鳥居航, 近藤大祐, 飯塚博幸, 安藤英由樹, 前田太郎, 日本バーチャルリアリティ学会大会論文集(CD-ROM), 18th, 2013 - なぞり動作時における振動刺激を用いた外形提示手法
橋本悠希, 飯塚博幸, 安藤英由樹, 前田太郎, 日本バーチャルリアリティ学会研究報告, 18, TX01, 2013 - Recognition of Others and Emergence of Communication on Sensory-Substitutional Experiment
飯塚 博幸, 安藤 英由樹, 前田 太郎, 人工知能学会全国大会論文集, 27, 1, 3, 2013
人工知能学会, Japanese - 画像合成・切替を用いた腹腔鏡手術トレーニングシステムと評価手法の提案 (第98回 ヒューマンインタフェース学会研究会 コミュニケーション支援および一般)
安藤 英由樹, 近藤 大祐, 飯塚 博幸, ヒューマンインタフェース学会研究報告集, 15, 195, 200, 2013
ヒューマンインタフェース学会, Japanese - Emergence of leader/follower distinction in proto-linguistic communication
UNO Ryoko, Iizuka Hiroyuki, Suzuki Keisuke, Technical report of IEICE. HCS, 112, 176, 55, 60, 11 Aug. 2012
本稿は,リーダー・フォロワーの分化を,私たちが行った二つの実験から考える.一つ目は計算機シミュレーションによる実験で,エージェント同士が「主体性」の確認のために役割分化のある運動が生まれる.二つ目は,人間の被験者のペアが新しい「言語」を用いてコミュニケーションを構造化するのを観察する実験である.コミュニケーションのトピックを予め与えていないため,被験者はトピックを模索するが,その際に役割分化が現れやすい.本稿では、言語コミュニケーションにおいて主体性の確認は、トピックの模索のような意味生成を通じて行われているのではないかと論じ,二つの実験から得たモデルに基づいて様々なコミュニケーションを分析する可能性を探る., The Institute of Electronics, Information and Communication Engineers, Japanese - 頭部到達運動時における自己運動の変化知覚 : 視覚手がかりの影響の検討(日本基礎心理学会第30回大会,大会発表要旨)
米村 朋子, 岡本 信, 近藤 大祐, 橋本 悠希, 飯塚 博幸, 安藤 英由樹, 前田 太郎, 基礎心理学研究, 30, 2, 234, 234, 31 Mar. 2012
日本基礎心理学会, Japanese - 上腕運動時における視覚情報中の自他運動の知覚的融合(日本基礎心理学会第30回大会,大会発表要旨)
横坂 拓巳, 米村 朋子, 近藤 大祐, 橋本 悠希, 飯塚 博幸, 安藤 英由樹, 前田 太郎, 基礎心理学研究, 30, 2, 234, 234, 31 Mar. 2012
日本基礎心理学会, Japanese - Modulating Sense of Agency by Manipulating Visual Information
IIZUKA Hiroyuki, ANDO Hideyuki, MAEDA Taro, Technical report of IEICE. HIP, 111, 432, 15, 18, 02 Feb. 2012
The aim of the present paper is to clarify how the distinction of self (sense of agency, SOA) and other-produced behavior can be synthesized and recognized in multisensory integration as our cognitive processes. To address this issue, we use tickling paradigm that it is hard for us to tickle ourselves. In our hypothesis, integration of vision, proprioception, and motor commands forms the SOA and disintegration causes the breakdown the SOA, which causes the feeling of others, producing tickling sensation even by tickling oneself This hypothesis was tested., The Institute of Electronics, Information and Communication Engineers, Japanese - 視野共有システムにおける頭部追従マーカの改良
近藤大祐, 近藤大祐, 米村朋子, 米村朋子, 橋本悠希, 飯塚博幸, 安藤英由樹, 前田太郎, 日本バーチャルリアリティ学会大会論文集(CD-ROM), 17th, 2012 - スキル伝達における頭部運動の協調を実現する教示動作の分析
北尾太嗣, 米村朋子, 米村朋子, 横坂拓巳, 近藤大祐, 近藤大祐, 橋本悠希, 飯塚博幸, 安藤英由樹, 前田太郎, 日本バーチャルリアリティ学会大会論文集(CD-ROM), 17th, 2012 - 多極前庭電気刺激における動的な電流印加の影響
青山一真, 橋本悠希, 近藤大祐, 米村朋子, 飯塚博幸, 安藤英由樹, 前田太郎, 日本バーチャルリアリティ学会大会論文集(CD-ROM), 17th, 2012 - 爪上振動刺激デバイスによる外形提示のための振動波形設計
橋本悠希, 橋本悠希, 近藤大祐, 米村朋子, 飯塚博幸, 安藤英由樹, 前田太郎, 日本バーチャルリアリティ学会大会論文集(CD-ROM), 17th, 2012 - 擬似牽引力による運動誘導を用いた超音波プローブ操作体験アプリの開発
濱口英典, 橋本悠希, 飯塚博幸, 安藤英由樹, 前田太郎, 日本バーチャルリアリティ学会研究報告, 17, HDC09, 2012 - 1P1-H11 The Behavioral Intention Caused by Two Types of Tumori Controllers(VR and Interface)
Niwa Masataka, Okada Shinya, Azuma Kentaro, Iizuka Hiroyuki, Ando Hideyuki, Maeda Taro, ロボティクス・メカトロニクス講演会講演概要集, 2011, "1P1, H11(1)"-"1P1-H11(4)", 26 May 2011
Exploiting the time-segmentation of action recognition and generation, we have proposed "Tumori" controller that realizes to manipulate a high-DOF (degree of freedom) robot with a low-DOF joystick controller while maintaining the user's intention depending on the time-segmentation. In this paper, the relation between behavior intention and two type of input device("Tumori" controller) is investigated., The Japan Society of Mechanical Engineers, Japanese - 1P1-H10 Tumori Control : Manipulate Robot with an Archetype of Behavioral Intention(VR and Interface)
Niwa Masataka, Okada Shinya, Azuma Kentaro, Iizuka Hiroyuki, Ando Hideyuki, Maeda Taro, ロボティクス・メカトロニクス講演会講演概要集, 2011, "1P1, H10(1)"-"1P1-H10(3)", 26 May 2011
We propose novel architecture to realize a low-degree of freedom (DOF) Tsumori controller to manipulate a high-DOF robot. We believe that humans can immerse themselves to manipulate a robot if the robot reflects user intention. In our Tsumori controller, the user intuitively operates a joystick, and the robot moves semi -autonomously and reflects the user's intention that is extracted from intuitive input sequences. In this paper, we explain how to extract Tsumori, which is an archetype of human behavioral intention, and how to realize a Tsumori controller., The Japan Society of Mechanical Engineers, Japanese - パラサイトヒューマンシステムによる感覚伝送・共有とその応用
橋本悠希, 米村朋子, 近藤大祐, 飯塚博幸, 安藤英由樹, 前田太郎, 横幹連合コンファレンス(CD-ROM), 4th, 2011 - 音の周波数変化が随意運動に与える影響
熊倉祥人, 橋本悠希, 飯塚博幸, 安藤英由樹, 前田太郎, 日本バーチャルリアリティ学会大会論文集(CD-ROM), 16th, 2011 - 擬似牽引力を提示する非対称振動の設計手法に関する研究
浜口英典, 丹羽真隆, 飯塚博幸, 安藤英由樹, 前田太郎, 日本バーチャルリアリティ学会大会論文集(CD-ROM), 16th, 2011 - 人から人へのテレイグジスタンスにおける触覚伝送・共有技術
橋本悠希, 橋本悠希, 米村朋子, 米村朋子, 飯塚博幸, 飯塚博幸, 前田太郎, 前田太郎, 安藤英由樹, 安藤英由樹, 梶本裕之, 梶本裕之, 日本感性工学会大会予稿集(CD-ROM), 13th, 2011 - 視野画像の空間周波数の部分的操作が頭部運動による視標追従に与える影響
米村朋子, 米村朋子, 横坂拓巳, 近藤大祐, 橋本悠希, 橋本悠希, 飯塚博幸, 安藤英由樹, 前田太郎, 基礎心理学研究, 29, 2, 2011 - Multi-modal communications system using Parasitic Humanoid Network : Synergistic work support system using common viewing device
ANDO Hideyuki, IIZUKA Hiroyuki, YONEMURA Tomoko, MAEDA Taro, Technical report of IEICE. HCS, 110, 33, 137, 142, 06 May 2010
In this paper, we propose parasitic-humanoid network system that realizes skill transmission between distant people sharing experiences. In order to realize it, an optical conjugate video see-through HMD is developed. The system is evaluated with the experiments of real-time/off-line skill transmissions. Finally, we discuss feasibility and optimizing parameters for the system., The Institute of Electronics, Information and Communication Engineers, Japanese - Multi-modal communications system using Parasitic Humanoid Network : Synergistic work support system using common viewing device
ANDO Hideyuki, IIZUKA Hiroyuki, YONEMURA Tomoko, MAEDA Taro, Technical report of IEICE. HIP, 110, 34, 137, 142, 06 May 2010
In this paper, we propose parasitic-humanoid network system that realizes skill transmission between distant people sharing experiences. In order to realize it, an optical conjugate video see-through HMD is developed. The system is evaluated with the experiments of real-time/off-line skill transmissions. Finally, we discuss feasibility and optimizing parameters for the system., The Institute of Electronics, Information and Communication Engineers, Japanese - 凹凸感に係わる指腹への刺激の要素特定
湯村武士, 橋本悠希, 橋本悠希, 米村朋子, 米村朋子, 飯塚博幸, 飯塚博幸, 安藤英由樹, 安藤英由樹, 前田太郎, 前田太郎, 日本バーチャルリアリティ学会大会論文集(CD-ROM), 15th, 2010 - 一人称視野共有によるスキル伝達・学習効果の評価
黒崎敬太郎, 川崎宏記, 近藤大祐, 米村朋子, 米村朋子, 橋本悠希, 橋本悠希, 飯塚博幸, 安藤英由樹, 前田太郎, 日本バーチャルリアリティ学会大会論文集(CD-ROM), 15th, 2010 - 投球における「しっくり感」と投球結果の相関関係についての検証
熊倉祥人, 橋本悠希, 飯塚博幸, 安藤英由樹, 前田太郎, 日本バーチャルリアリティ学会大会論文集(CD-ROM), 15th, 2010 - 空間周波数処理を用いた視点誘導手法
横坂拓巳, 米村朋子, 米村朋子, 岡本信, 川崎宏記, 近藤大祐, 橋本悠希, 橋本悠希, 飯塚博幸, 安藤英由樹, 前田太郎, 日本バーチャルリアリティ学会大会論文集(CD-ROM), 15th, 2010 - 「つもり」制御におけるロボットの動作履歴が操縦者の直観的入力に与える影響
岡田慎矢, 坂口翔太, 丹羽真隆, 東健太郎, 飯塚博幸, 安藤英由樹, 前田太郎, 日本バーチャルリアリティ学会大会論文集(CD-ROM), 15th, 2010 - 視野共有システムにおけるVST-HMDの広視野角化と画像安定化による空間認識への効果
服部響, 黒崎敬太郎, 川崎宏記, 近藤大祐, 橋本悠希, 橋本悠希, 米村朋子, 米村朋子, 飯塚博幸, 安藤英由樹, 前田太郎, 日本バーチャルリアリティ学会大会論文集(CD-ROM), 15th, 2010 - スマートフォンを用いた触覚情報の共有に関する研究
橋本悠希, 雨宮智浩, 米村朋子, 飯塚博幸, 安藤英由樹, 前田太郎, 日本バーチャルリアリティ学会大会論文集(CD-ROM), 15th, 2010 - 1A1-G14 Image Stabilization for View Shared Remote Cooperative Work
KONDO Daisuke, KUROSAKI Keitaro, YONEMURA Tomoko, IIZUKA Hiroyuki, ANDO Hideyuki, MAEDA Taro, ロボティクス・メカトロニクス講演会講演概要集, 2010, "1A1, G14(1)"-"1A1-G14(3)", 2010
We are developing a remote cooperative work system using a view sharing. The view sharing is constructed from the video-see-through head mounted displays (VST-HMD) and motion trackers. Using the system, the users can share the first-person views each other. The image stabilization method is implemented to correspond the optical flow to head movement., The Japan Society of Mechanical Engineers, Japanese - 1A1-G13 Collaboration and Skill Transmission by First-person Perspective View Sharing Method
KAWASAKI Hiroki, OKAMOTO Shin, IIZUKA Hiroyuki, ANDO Hideyuki, MAEDA Taro, ロボティクス・メカトロニクス講演会講演概要集, 2010, "1A1, G13(1)"-"1A1-G13(4)", 2010
When two distant persons establish coordination in the tele-existence environment, it is important how to share each other's motions and sensations, and how to adjust or revise their motions to cooperate. There are some studies in which they use a third-person view to share motions, and less studies with first-person view despite the fact that there are reports where first-person view plays an important role for ownership and bodyimage. Therefore, we propose a method to blend the mutual first person's views to establish coordination where the partner's view is superimposed onto his/her own view. In the blended views, each other's motion is seen in an equivalent viewpoint. In the experiment, subjects are required to establish rhythmic coordination under this view-sharing system, and we evaluate a performance for the rhythmic coordination in different composition-ratio conditions of the first-person views., The Japan Society of Mechanical Engineers, Japanese - 打撃力を用いた擬似牽引力提示装置の設計(テーマセッション「手」,手,実・仮想空間の知覚・認知,一般)
濱口 英典, 安藤 英由樹, 飯塚 博幸, 前田 太郎, 電子情報通信学会技術研究報告. HIP, ヒューマン情報処理, 109, 83, 97, 100, 08 Jun. 2009
人の非線形な知覚特性を考慮し,偏加速度を持ったオモリの運動を利用した擬似牽引力の提示デバイスが研究されている.しかし,従来手法ではクランクスライダ機構のため小型・軽量化が困難であった.そこで,本研究では小型軽量で従来と同等の偏加速度運動を実現する機構として回転する2節リンクの先端にオモリを載せ,固定された壁面に周期的に衝突させる機構を提案する.本装置では衝突時の打撃力によって短時間の大きな推力を生成し,回転時のオモリの可動によって長時間の小さな推力を生成する.本発表では,効果的な偏加速度運動を生成するために,衝突部の構造,回転時のオモリの軌道,の2点に関する設計論について述べる., 一般社団法人電子情報通信学会, Japanese - 2A2-K01 The transmission characteristic analysis for transmit tactile information using nail-mounted tactile display : The study of active touch tactile display using vibration on fingernail (2)
Ando Hideyuki, Yumura Takeshi, Iizuka Hiroyuki, Watanabe Junji, Maeda Taro, ロボティクス・メカトロニクス講演会講演概要集, 2009, "2A2, K01(1)"-"2A2-K01(4)", 25 May 2009
In this paper, we propose a method to transmit tactile information from one person to another using nail-mounted tactile display. Our proposed method conveys tactile information which is obtained by detecting the vibration on the nail of a sender when tracing a texture, and generates a vibration on the nail of a receiver to re-create the tactile perception while the subject tracing on a flat surface. Therefore, we measured the vibration on the subject's nail when tracing different kinds of textures, and analyzed its characteristics to find essential factors in order to share tactile perceptions with two people., The Japan Society of Mechanical Engineers, Japanese - 1P1-E09 Can Human Detect the Difference between Machine and Human through Nonverbal Interaction? : Emergence of Turn-taking on behaviour-based turing test
Iizuka Hiroyuki, Ando Hideyuki, Maeda Taro, ロボティクス・メカトロニクス講演会講演概要集, 2009, "1P1, E09(1)"-"1P1-E09(4)", 25 May 2009
To establish a harmonic interaction between a human and a computer, we reconsider human interactions that establish natural communication. Instead of investigating verbal communication, we use the simple and low-level environment where inputs and outputs of subjects are restricted in a low dimension at the behavioral level. Our final goal is to clarify with the simple environment how humans can create human-like interaction such as an interaction that produces the feeling of human. To achieve it, behavior-based turing-test is proposed here. As a result, it is shown that the emergence of turn-taking behavior plays an important role to pass our behavior-based turing test. The results are also discussed with the attractor superimposition., The Japan Society of Mechanical Engineers, Japanese - Performance Evaluation of Recommendation Algorithms Based on Rating-recommendation Interaction
山下 晃弘, 川村 秀憲, 飯塚 博幸, 大内 東, 情報処理学会論文誌数理モデル化と応用（TOM）, 2, 2, 47, 57, 27 Mar. 2009
The problem of information overload spreading across the Internet has been causing serious inefficiency in browsing and searching for information. As a way to overcome the problem, the recommender systems are recently used in many E-commerce sites. Many algorithms have been proposed to improve the accuracy of recommendation based on user ratings. The relation between recommender systems and users is rather interactive in the sense that recommendations decides which items are recommended to users and the results of ratings by users will affect the next recommendations. However, conventional studies have not considered the interactive aspects so much. Therefore, our aim of this paper is to propose a new evaluation model using multiagent modeling where the recommender system and agents (as users) interacts with each other. The properties of typical recommendation algorithms such as user-based and itembased collaborative filtering will be analyzed with our proposed model. Our results also suggest the possibilities to propose a novel and effective recommendation algorithm., 情報処理学会, Japanese - 擬似牽引力提示装置の装着方法が牽引力錯覚に及ぼす影響
長江依奈, 安藤英由樹, 安藤英由樹, 米村朋子, 米村朋子, 飯塚博幸, 飯塚博幸, 前田太郎, 前田太郎, 日本バーチャルリアリティ学会大会論文集(CD-ROM), 14th, 2009 - 一人称視点映像重ね合わせを用いた視覚・運動共有手法の検討
川崎宏記, 岡本信, 中村和志, 中村和志, 米村朋子, 米村朋子, 飯塚博幸, 安藤英由樹, 前田太郎, 日本バーチャルリアリティ学会大会論文集(CD-ROM), 14th, 2009 - ロボット操縦における「つもり」の伝送と検出の検討
岡田慎矢, 坂口翔太, 丹羽真隆, 飯塚博幸, 安藤英由樹, 前田太郎, 飯塚博幸, 安藤英由樹, 前田太郎, 日本バーチャルリアリティ学会大会論文集(CD-ROM), 14th, 2009 - 場所と興味を反映した情報提示のための頭部搭載スクリーンを用いた遭遇型ディスプレイの提案
廣瀬光彦, 近藤大祐, 飯塚博幸, 安藤英由樹, 前田太郎, 日本バーチャルリアリティ学会大会論文集(CD-ROM), 14th, 2009 - 実空間とVR空間の視点を一致させたビデオシースルーHMDの開発と評価
黒崎敬太郎, 濱田和孝, 近藤大祐, 飯塚博幸, 安藤英由樹, 前田太郎, 日本バーチャルリアリティ学会大会論文集(CD-ROM), 14th, 2009 - 前庭電気刺激における頭部電流経路モデルの改善
宮田祐樹, 濱田和孝, 飯塚博幸, 安藤英由樹, 前田太郎, 日本バーチャルリアリティ学会大会論文集(CD-ROM), 14th, 2009 - Bio-Inspired Ambient Interfaces : Human Behavior Supporting Based on Attractor Superimposition Theory
MAEDA Taro, ANDO Hideyuki, IIZUKA Hiroyuki, IPSJ SIG Notes. CVIM, 2008, 115, 81, 90, 20 Nov. 2008
The present Global COE Program "Founding Ambient Information Society Infrastructure" by Osaka University's Graduate School of Information Science and Technology aims at establishing ambient interface technologies that can harmonize human-environment interactions to naturally lead to a more suitable state with the integration of information science and biologically-inspired. As a possible way to achieve such a technology, we propose the concept of Parasitic Humanoid that is a system consisting of wearable interface devices that enable rather intuitive interactions with wearers than conventional interaction ways such as key-typing, device-control, and graphical user interfaces. We also introduce a novel way for human behavioural supports with the Parasitic Humanoid on the basis of the concept of attractor superimposition caused by mutual human-environment couplings., Information Processing Society of Japan (IPSJ), Japanese - Bio-Inspired Ambient Interfaces : Human Behavior Supporting Based on Attractor Superimposition Theory
MAEDA Taro, ANDO Hideyuki, IIZUKA Hiroyuki, Technical report of IEICE. PRMU, 108, 327, 81, 90, 20 Nov. 2008
The present Global COE Program "Founding Ambient Information Society Infrastructure" by Osaka University's Graduate School of Information Science and Technology aims at establishing ambient interface technologies that can harmonize human-environment interactions to naturally lead to a more suitable state with the integration of information science and biologically-inspired. As a possible way to achieve such a technology, we propose the concept of Parasitic Humanoid that is a system consisting of wearable interface devices that enable rather intuitive interactions with wearers than conventional interaction ways such as key-typing, device-control, and graphical user interfaces. We also introduce a novel way for human behavioural supports with the Parasitic Humanoid on the basis of the concept of attractor superimposition caused by mutual human-environment couplings., The Institute of Electronics, Information and Communication Engineers, Japanese - Bio-Inspired Ambient Interfaces : Human Behavior Supporting Based on Attractor Superimposition Theory
MAEDA Taro, ANDO Hideyuki, IIZUKA Hiroyuki, Technical report of IEICE. Multimedia and virtual environment, 108, 328, 81, 90, 20 Nov. 2008
The present Global COE Program "Founding Ambient Information Society Infrastructure" by Osaka University's Graduate School of Information Science and Technology aims at establishing ambient interface technologies that can harmonize human-environment interactions to naturally lead to a more suitable state with the integration of information science and biologically-inspired. As a possible way to achieve such a technology, we propose the concept of Parasitic Humanoid that is a system consisting of wearable interface devices that enable rather intuitive interactions with wearers than conventional interaction ways such as key-typing, device-control, and graphical user interfaces. We also introduce a novel way for human behavioural supports with the Parasitic Humanoid on the basis of the concept of attractor superimposition caused by mutual human-environment couplings., The Institute of Electronics, Information and Communication Engineers, Japanese - Extending homeostatic neural controller for adaptive behaviour
IIZUKA Hiroyuki, IPSJ SIG Notes. ICS, 2008, 20, 55, 60, 06 Mar. 2008
A homeostatic neural controller is extended by exploiting the internal dynamics of a neural network in the absence of sensory input and also by avoiding the loss of internal variability that is caused by a local plastic mechanism. The extended method can solve a contingent link between internal and behavoiural stability where homeostasis remain unaffected even under disruptions of behaviours. The method allows the generation of reliable adaptation to morphological disruptions in a simple simulated vehicle using a homeostatic neurocontroller that has been selected to behave homeostatically while performing the desired behaviour but non-homeostatically in other circumstances. The performance of the extended method is compared with simple homeostatic neural controllers. As a result, it is shown that the extended homeostatic networks are more adaptive and can adapt to the environmental changes that happen more than once., Information Processing Society of Japan (IPSJ), Japanese - Performance Evaluation of User-based and Item-based Collaborative Filtering by Multi-agent Modeling
YAMASHITA AKIHIRO, KAWAMURA HIDENORI, IIZUKA HIROYUKI, OHUCHI AZUMA, IPSJ SIG Notes, 68, 17, 141, 144, 04 Mar. 2008
Information overload problem has expanded further more. A recommender system provides personalized recommendation for each user to reduce the problem. Many techniques to maximize the accuracy of recommendation based on browse history or purchase of certain products have been already proposed. Moreover, the recommendation result influences the user's behavior. Basically, the recommender system and the users are interactive, however, this dynamics had not been researched. In this research, we modeled the user as a purchase-rating agent, and analyzed the performance of the recommendation algorithm considering the system-user interaction. In this paper, we report a result of the analysis of user-based and and item-based collaborative filtering., Information Processing Society of Japan (IPSJ), Japanese - Extending homeostatic neural controller for adaptive behaviour
IIZUKA Hiroyuki, IEICE technical report, 107, 523, 55, 60, 27 Feb. 2008
A homeostatic neural controller is extended by exploiting the internal dynamics of a neural network in the absence of sensory input and also by avoiding the loss of internal variability that is caused by a local plastic mechanism. The extended method can solve a contingent link between internal and behavoiural stability where homeostasis remain unaffected even under disruptions of behaviours. The method allows the generation of reliable adaptation to morphological disruptions in a simple simulated vehicle using a homeostatic neurocontroller that has been selected to behave homeostatically while performing the desired behaviour but non-homeostatically in other circumstances. The performance of the extended method is compared with simple homeostatic neural controllers. As a result, it is shown that the extended homeostatic networks are more adaptive and can adapt to the environmental changes that happen more than once., The Institute of Electronics, Information and Communication Engineers, Japanese - Communication and generation of motions by discretized / continuous visual images
麻生紘己, 岡本信, 川崎宏記, 飯塚博幸, 安藤英由樹, 前田太郎, 日本バーチャルリアリティ学会大会論文集(CD-ROM), 13th, 2008 - 21pTP-3 Embodied dynamics of agency detection in social interaction
Iizuka Hiroyuki, Meeting abstracts of the Physical Society of Japan, 62, 2, 266, 266, 21 Aug. 2007
The Physical Society of Japan (JPS), Japanese - 24pXK-4 Simulating Turn-Taking Dynamics
Iizuka Hiroyuki, Ikegami Takashi, Meeting abstracts of the Physical Society of Japan, 57, 1, 240, 240, 01 Mar. 2002
The Physical Society of Japan (JPS), Japanese - Learning of Virtual Words Utilized in Negotiation Process between Agents
IIZUKA Hiroyuki, SUZUKI Keiji, YAMAMOTO Masahito, OHUCHI Azuma, IEICE transactions on fundamentals of electronics, communications and computer sciences, 83, 6, 1075, 1082, 25 Jun. 2000
Agent-based simulations are expected to enable analysis of complex social phenomena. In such simulations, one of the important behaviors of the agents is negotiation. Through-out the negotiations, the agents can make complex interactions with each other. Therefore, the ability of agents to perform negotiation is important in simulations of artificial societies. In this paper, we focus on price negotiations, in which the two sides have opposing interests. In the conventional price negotiation model, the process consists of an alternate succession of directly presented offers and counter-offers exchanging the desired prices. As an extended price negotiation model, we introduce virtual words to mimic the negotiation techniques of humans for indirectly presenting the desired price. The process of the proposed negotiation model consists of an alternate succession of offers of desired price and counter-offers of a word. The words represent the degree of the agent's demand. We propose agents with reinforcement learning who can acquire the ability to distinguish words and use them to negotiate. As a result, we will show that the virtual words became meaningful in the process of negotiations between agents whose negotiating strategies are acquired by reinforcement leaning., The Institute of Electronics, Information and Communication Engineers, English
Lectures, oral presentations, etc.
- Complexity Growth by Cooperative Interaction in Adversarial Learning
Taiki Sasaki, Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto
Twenty-sixth international symposium on Artificial life and Robotics, Jan. 2021, English, Oral presentation - Multi-agent formation by learning communication signals using DIAL in a distributed multi-agent environment
Hironobu Horiuchi, Wataru Noguchi, Iizuka Hiroyuki, Masahito Yamamoto
Twenty-sixth international symposium on Artificial life and Robotics, Jan. 2021, English, Oral presentation - 周辺地域の予測レーダ雨量を用いた深層学習による水路の水位予測
石川拓実, 阿曽克司, 羽黒厚志, 野口渉, 飯塚博幸, 山本雅人
第21回計測自動制御学会システムインテグレーション部門講演会, Dec. 2020, Japanese, Oral presentation
Dec. 2020 - Dec. 2020 - カメラ映像を用いたYOLOとI3Dによる飼育動物の行動分類
加藤圭吾, 野口渉, 飯塚博幸, 山本雅人
第21回計測自動制御学会システムインテグレーション部門講演会, Dec. 2020, Japanese, Oral presentation
Dec. 2020 - Dec. 2020 - Semi-supervised Learning Combining 2DCNNs and Video Compression for Action Recognition
Hayato Terao, Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto
2020 International Conference on Vision, Image and Signal Processing(ICVISP 2020), Dec. 2020, English, Oral presentation - DIALを用いた通信シグナルの学習によるマルチエージェントフォーメーション
堀内宏信, 野口渉, 飯塚博幸, 山本雅人
19回情報科学技術フォーラム(FIT2020)講演論文集, 第2分冊, Sep. 2020, Japanese, Oral presentation
Sep. 2020 - Sep. 2020 - 複数の代表点を用いたSDMMに基づく半教師あり行動認識手法
寺尾 颯人, 野口 渉, 飯塚 博幸, 山本 雅人
19回情報科学技術フォーラム(FIT2020), Sep. 2020, Japanese, Oral presentation
Sep. 2020 - Sep. 2020 - Learning of Evaluation Function in Digital Curling Considering the Probability of Scores at Each End
Kotaro Ataka, Wataru Noguchi, Iizuka Hiroyuki, Masahito Yamamoto
AAAI20 Workshop, Artificial Intelligence in Team Sports, Feb. 2020, English, Oral presentation - MixMatch based semi-supervised learning for video action recognition using 3D convolutional neural networks
Hayato Terao, Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto
Twenty-fifth international symposium on Artificial life and Robotics, Jan. 2020, English, Oral presentation - Efffect of Reactivity Artificial Medaka on Real Medaka
Katsuki Auchi, Wataru Noguchi, Hiroyuki Iizuka, Masahito Yamamoto
twenty-fifth international symposium on Artificial life and Robotics, Jan. 2020, English, Oral presentation - Reinforcement Learning Method with Internal World Model Training
Kenji Hirata, Hiroyuki Iizuka, Masahito Yamamoto
2020 IEEE/SICE International Symposium on System Integration, Jan. 2020, English, Oral presentation - Analysis of Time Series Trained by Adversarial Imitation Learning in Discrete State Neural Network Model
Seiya Yamazaki, Hiroyuki Iizuka, Masahito Yamamoto
2020 IEEE/SICE International Symposium on System Integration, Jan. 2020, English, Oral presentation - Analysis of Time Series Generated By Long Short-Term Memory Trained with Adversarial Imitation Learning[Seiya Yamazaki,Hiroyuki Iizuka,Masahito Yamamoto]
Seiya Yamazaki, Hiroyuki Iizuka, Masahito Yamamoto
2019 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2019), Dec. 2019, English, Oral presentation - 分割した集団の学習による役割分担の獲得
荒木関 渉, 野口 渉, 飯塚 博幸, 山本 雅人
情報処理北海道シンポジウム2019, Oct. 2019, Japanese, Poster presentation
Oct. 2019 - Oct. 2019 - Hybrid Synthetic Approach to Animal Interaction
Hiroyuki Iizuka, Yosuke Nakamoto, Masahito Yamamoto
The 2019 Conference on Artificial Life, Jul. 2019, English, Oral presentation - Spatial Representation of Self and Other by Superposition Neural Network Model
Wataru Noguchi, Hiroyuki Iizuka, Shigeru Taguchi, Masahito Yamamoto
The 2019 Conference on Artificial Life, Jul. 2019, English, Oral presentation - 3次元畳み込みニューラルネットワークを用いた店舗における顧客行動の分類
貝塚 裕, 飯塚 博幸, 山本 雅人
ロボティクス・メカトロニクス講演会2019 （ROBOMECH2019）, Jun. 2019, Japanese, Poster presentation
Jun. 2019 - Jun. 2019
Research Themes
- Synthetic approach to perceptual illusions using cognitive deep learning model with predictive learning
Grants-in-Aid for Scientific Research
01 Apr. 2022 - 31 Mar. 2026
飯塚 博幸, 山本 雅人, 鈴木 啓介, 野口 渉
令和5年度は、初年度に開発したボトムアップ処理を中心とする深層学習モデルを拡張し、重ね合わせ原理を用いた感覚統合を行うニューラルネットワークモデルを用いて、感覚入力のトップダウン的解釈を与える認知モデルを開発した。このモデルは、予測符号化理論に基づいており、感覚入力に対する予測と予測誤差の最小化を通じて、感覚情報の統合と解釈を行う。また、ラバーハンド錯覚のシミュレーションモデルを利用し、自分の身体領域を道具の先までに拡張するシミュレーションモデルを構築した。トップダウン的解釈を可能とする認知モデルにより、道具使用時の触感覚を道具不使用時の自分の身体の触感覚へと同等に重ね合わせることに成功した。
近接領域での手を用いた作業や振る舞いの経験が錯覚に与える影響を調べるため、実環境での、視覚、触覚、運動データの計測準備を進めた。協力者の頭部にカメラを固定し、作業時の画像を視覚データとして取得し、手にはデータグローブを装着し、触覚データと運動データを収集するこれらのデータは、初年度と2年目に行ったシミュレーションと同等の実環境データとして活用される。トップダウン的解釈を可能とする認知モデルとシミュレーション・物理環境において収集したデータを用いて、深層学習で実装した認知モデルを学習させた。ラバーハンド錯覚のシミュレーションにおいて、錯覚を再現することに部分的に成功しており、今後の更なる改善が期待される。
本研究の成果は、国際学会で発表し、高い評価を得ている。トップダウン的解釈を可能とする認知モデルの開発と、シミュレーションデータを用いた学習手法について、論文を執筆しており、国際学術誌に投稿する準備を行った。令和5年度の研究により、トップダウン的解釈を可能とするモデルの開発とそれらを用いた認知モデルの学習が進展した。
Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (B), Hokkaido University, 23K25163 - Synthetic approach to perceptual illusions using cognitive deep learning model with predictive learning
Grants-in-Aid for Scientific Research
01 Apr. 2022 - 31 Mar. 2026
飯塚 博幸, 山本 雅人, 鈴木 啓介, 野口 渉
Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (B), Hokkaido University, 22H03909 - Development of Semi-Supervised Learning Method using Compressed Video for Real-Time Animal Behavior Analysis
Grants-in-Aid for Scientific Research
01 Apr. 2022 - 31 Mar. 2025
山本 雅人, 飯塚 博幸, 田村 康将, 野口 渉
本研究は，カメラ等から取得した動画データに映る人や動物などの行動分類をリアルタイムに行うための手法として，多くの教師データを必要としない半教師あり学習にもとづく手法の開発を目的とする．具体的には，動物園の動物を対象とした実証実験をとおして，ホッキョクグマの常同行動の分析と行動分類，また，アジアゾウの採餌行動の分類などを行うシステムを開発する．さらに，動物の群れ行動の解析と動物とリアルタイムにインタラクションするシステムについても開発を行う．
二年度目までに，ホッキョクグマ，アジアゾウについてのトラッキング精度の向上，およびホッキョクグマの常同行動検出と行動分類手法の開発，アジアゾウの採餌行動の検出を主に行った．その結果，ホッキョクグマの常同行動については，約91％程度，行動分類については約89％の精度で実現できることを示した．
また，半教師あり学習については，単一のネットワークで I-frame, motion vector, residual を同時に処理する multi-stream single network (MussNet) を提案した． Early fusion は単一のネットワークですべての入力を処理するため, Late fusion よりも効率的な圧縮動画分類を実現できる一方, 学習後の分類精度が低くなってしまうという欠点がある. そこで, MussNet は単一ネットワークに対して, 内部でLate fusion がおこなわれるような学習をおこなう. 結果として, MussNet は Early fusion のような単一ネットワークによる効率性を維持しつつ, Late fusion と同等の精度を達成できることを示した．
Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (B), Hokkaido University, 23K24893 - リアルタイム動物行動解析に向けた圧縮動画による半教師あり学習手法の開発
科学研究費助成事業
01 Apr. 2022 - 31 Mar. 2025
山本 雅人, 飯塚 博幸, 田村 康将, 野口 渉
日本学術振興会, 基盤研究(B), 北海道大学, 22H03637 - Increasing complexity of signals through adversarial imitation learning in cumulative cultural evolution
Grants-in-Aid for Scientific Research
01 Apr. 2020 - 31 Mar. 2022
飯塚 博幸
本研究では，認知実験とコンピュータによる構成論的アプローチによって，単純なシグナルのやりとりでの「真似したいが真似されたくない」という敵対的模倣関係のなかから，そのシグナル上にいかにして言語的な階層構造が意図共有を通して創発可能かを明らかにすることである．初年度においては，Kirbyらの行った累積的文化進化の実験室実験を拡張することで実験する予定であったが，対面での実験が難しかったため，実験装置の作成と小規模な予備実験に留めた．実験ではサイモンゲームを用いて，味方プレイヤには真似されるように，敵プレイヤには真似されないように色パターンを生成する．予備実験結果においては，相手には真似されないように色パターン系列を生成すると，生成されるパターンの複雑化がシミュレーションと同様に見られることを明らかにした．生成されたパターン系列は，複雑さの指標として圧縮率と構造化の指標としてSQUITURアルゴリズムを用いて評価した．しかし，生成されるパターンにおいて，構造化されるようなものは得られなかった．一方で，シミュレーションでは，機械学習で注目を集めている敵対的生成ネットワークを利用して，敵対的模倣学習のモデル化を行った．敵対的生成ネットワークでは，実画像を利用することで，実画像と同程度の複雑さをもち，かつ，リアリティを人に感じさせる構造的特徴を学習可能である．これを利用して敵対的模倣学習をモデル化することで，前回の公募課題のときには見られなかった2者間において，時系列パターンの複雑が生じることを示した．
Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area), Hokkaido University, 20H04989 - Emergence of Grammar in Imitation Learning using Deep Learning
Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
01 Apr. 2018 - 31 Mar. 2020
飯塚 博幸
初年度において関数の表現が豊かなフィードフォワードニューラルネットワークを用いても，相手を真似したいが，相手からは真似されたくない状況である敵対的模倣学習によって時系列が複雑化することが明らかになった．最終年度は，まず，敵対的模倣が複雑化に寄与しているのかを確かめるために，異なる真似関係構造がもたらす時系列の複雑さを明らかにした．相互作用の種類として，２体のそれぞれのエージェントに，模倣のみ（真似したい），被模倣のみ（真似されたくない），敵対的模倣の３種類を用いてシミュレーションを行った．結果として，少なくとも一方が敵対的模倣のときのみ時系列は複雑化し，そのときに相手が被模倣もしくは敵対的である必要があることが明らかとなった．両者の真似されたくないというのが複雑化の必要条件であり，かつ，少なくともどちらか一方が真似したいという敵対的模倣が必要であるとわかった．
さらに，敵対的模倣学習がもたらす時系列の時間方向の複雑化を示すために，記憶を保持できるリカレントニューラルネットワークの一つであるLSTMを用いてモデルの構築とシミュレーションを行った．結果，初年度のモデルと同様に，リアプノフ指数が正となり，時系列が複雑化することがわかった．そこで，記憶のないモデル時に見られなかったような時間方向への構造化を定量的に示すために，ZIP圧縮を用いて生成時系列を圧縮させた．時系列がカオスになっているエポックのうち，その中でも相対的に圧縮できるパターンが生まれていることが明らかとなった．このときの時系列の遷移パターンを可視化するために，N-gramモデルを用いて時系列を有限状態文法で表し，ノード数・パス数ともに小さくなっていることを示し，より単純なグラフになっていることがわかった．記憶を持つ場合には，空間方向だけでなく時間方向も扱えるため，時間方向の複雑化・構造化が生じた．
Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area), Hokkaido University, 18H05057 - Establishing mutual communication between organism and machine using deep learning
Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C)
01 Apr. 2017 - 31 Mar. 2020
Iizuka Hiroyuki
We constructed a mutual interaction system between machine and fish (medaka). The system can generate and show visual stimuli of machine movements in response to the movements of the real medaka which are detected in real time. Using this experimental apparatus, we compared the real medaka behaviors to the artificial movements generated by reactive (mutual) or non-reactive (unidirectional) way. Real medaka were more interested in reactive artificial movements and spent more time on the screen showing the reactive artificial movements than non-reactive one. In other words, it was possible to induce specific behaviors in real medaka under the mutual interaction. It can be said that the communication-like interaction between the artifact and the medaka has been realized.
Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (C), Hokkaido University, 17K00329 - Development of Robot Control Interface based Mutual Learning of Users and Machines.
Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C)
01 Apr. 2015 - 31 Mar. 2018
Yamamoto Masahito
In this research, we have proposed a mutual learning interface between human and machine where the machine exploits the prediction errors to read user’s intention. To do this, we extracted human intention from body movements, especially hand movements, and associate with movements of multi-degree of freedom spider robot, thereby constructing interface to operate robot only from hand movements. Since the hand movements reacts the intention that varies depending on the individual user, the correspondence between the hand movements and the operation of the controlled object is built using machine learning. It is shown that the proposed interface can adapt to multiple behaviors of the robot.
Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (C), Hokkaido University, 15K05884 - 正直シグナルの伝播による人らしさを生み出す操縦インタフェースの構築
科学研究費助成事業 新学術領域研究(研究領域提案型)
01 Apr. 2015 - 31 Mar. 2017
飯塚 博幸
前年度においてPerceptual Crossing実験を行うことで，人の非言語相互作用に時間遅れをいれた場合，400msから500msの時間遅れが入ってしまうと例え人が操作していたとしても人らしさが大きく失われることがわかった．これは，ロボットが人と相互作用を行っている状況に当てはめると，相手の動作に対する人の応答タイミングから，400ms以上ロボットの動作が遅れてしまうとロボットの動きは人らしくなり得ないということを意味している．これを改善するために本年度において，引き続き人同士の相互作用の解析を行い，人がロボットを操縦する際，ロボットが人らしく振る舞うための方法論の構築を行った．まず，時間遅れに対して人は振る舞いを変えることで相互作用の頑健性を上げていることがわかった．そこでは，両者が相互作用を行うときに生じる接触を意味する振動刺激の間隔が遅くなっていることがわかった．これは両者の相互作用のリズムを遅くすることで，時間遅れが相互作用に入ったときにお互いの応答タイミングに幅が生じたためだと考えられる．次に，この人の適応行動を利用することで，ロボットの応答タイミングが遅れても人らしく振る舞うことのできる方法を提案した．アイデアとしては，外部からインタフェースとして相互作用のリズムを遅くしてやることで，相互作用の頑健性を向上できるではないかと考えた．方法としては，Perceptual Crossing実験内での運動ゲインを下げ，運動の効果を落とした．これは必ずしも相互作用のリズムを遅くすることにはつながらないが，結果的に相互作用のリズムを落とすことに成功した．これにより，相互作用の頑健性の向上も観察された．また，定量的に移動エントロピーを用いることで，時間遅れがあっても相互作用が改善されていることを示した．
日本学術振興会, 新学術領域研究(研究領域提案型), 北海道大学, 15H01611 - EEG Communication between Two using Neurofeedback Training
Grants-in-Aid for Scientific Research Grant-in-Aid for Challenging Exploratory Research
01 Apr. 2013 - 31 Mar. 2015
IIZUKA Hiroyuki
Neurofeedback Training (NFT) is a training to regulate brain activities with visual or sound feedback of their own brain activities to subjects. This study extends the conventional NFT to bilateral NFT between two where the brain waves are communicated directly and used as the feedback. In the experiments, the powers of alpha waves of EEG are displayed as a visual feedback. Our results show that alpha power of subjects’ EEG can be enhanced in the bilateral NFT and that the subjects who can successfully enhance the alpha power is also able to regulate the alpha in the conventional individual NFT.
Japan Society for the Promotion of Science, Grant-in-Aid for Challenging Exploratory Research, Hokkaido University, 25560430 - The detection and transmission of "Tumori": The study of scalabilityof the voluntariness in tele-operation
Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (A)
2010 - 2012
MAEDA Taro, ANDO Hideyuki, IIZUKA Hiroyuki, SUZUKI Takahumi
Our research project investigated temporally-segmented behavioral intentions when performing motion planning. The segmented behavioral intention is called “Tsumori”. We developed a novel way of classifying and estimating Tsumori to control a humanoid robot with a large number of DOF with a simple interface. Our developed technology does not lose the sense of agency when controlling a robot in a real-time manner, which means that they can control a robot like moving their parts of body. To achieve this, we successfully relaxed the conditions of sense of agency on Tsumori controller. “Tsumori” was also examined in the brain activities. We successfully detected the brain and physiological responses to the “Tsumori” for the functional purpose. These findings and further development of brain models extend the application of segmented behavioral intentions “Tsumori”
Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (A), Osaka University, 22240008 - Experimental Study of Agency feeling by Sensory Integration of Vision, Tactile and Motion
Grants-in-Aid for Scientific Research Grant-in-Aid for Young Scientists (B)
2010 - 2011
IIZUKA Hiroyuki
The aim of this study is to clarify how the distinction of self-(sense of agency, SOA) and other-produced behavior can be synthesized and recognized in multisensory integration as our cognitive processes. To address this issue, we use tickling paradigm that it is hard for us to tickle ourselves. In our hypothesis, integration of vision, proprioception, and motor commands forms the SOA and disintegration causes the breakdown the SOA, which causes the feeling of others, producing tickling sensation even by tickling oneself. This hypothesis was tested.
Japan Society for the Promotion of Science, Grant-in-Aid for Young Scientists (B), Osaka University, 22700274 - 構成論的アプローチによる能動的運動がもたらす知覚と認知の複雑さに関する研究
科学研究費助成事業 特別研究員奨励費
2005 - 2007
飯塚 博幸
本年度は,実際に認知実験に見られる主体性に関する認知実験をもとにして,相互作用における能動性と主体性のモデル化を行った.人間は他人との相互作用において,自己の意図性をそのやりとりされる運動の中に表現する.その主体性は一人の運動の表現から導かれるものではなく,相互作用そのものに埋め込まれている(例えば,Trevarthenらの実験(1985)).この間主観的な社会的相互作用における主体性の検出運動ダイナミクスのシミュレーションを行い,大域的な力学系の観点から解析を行った.
シミュレーションでは,相手のエージェントがニューラルネットワークを使ってリアルタイムに応答しているのか,それとも,以前相互作用したときに録画された運動をリプレイするだけの非応答エージェントであるのか,を区別することをもって相手の主体性の判断とした.
この区別ができるエージェントを進化的アルゴリズムによって獲得し,その運動と内部ダイナミクスの解析を行った.結果として,ここでのエージェントの主体性はアトラクター間のトランジェントダイナミクスが相互に絡み合うことによって実現された.また,その主体性検出のための運動ダイナミクスは,ノイズに対する大域的なダイナミクスのロバスト性と接触タイミングを揺らがすための入力に対する鋭敏性と振る舞いの多様性を利用することで十分可能であることがわかった.このことは,相手の主体性を認知するために,複雑な情報を統合する個々の認知機構は必ずしも必要条件とはならず,むしろ,相互作用の自体のリアルタイム性とノイズに対する頑健性によって実現が可能であることを意味している.これらのシミュレーション結果は,人の主体性を扱うような難解な認知の問題に対しても,モデルを複雑化して理解するのではなく,環境とエージェントを簡素に記述し,その相互作用から考えるという身体性モデリングの一つの可能性を示した.
日本学術振興会, 特別研究員奨励費, 公立はこだて未来大学, 05J04443 - 交渉エージェント間における合意形成に関する研究
科学研究費助成事業 特別研究員奨励費
2001 - 2003
飯塚 博幸
協調的でもあり競争的でもある交渉という環境において、そのお互いの目的が協調的でかつ競争的であるシミュレーション環境のモデル化を行い、そのような環境における各エージェントの学習機構の開発とそのエージェントが学習によって獲得した内部構造の解析を行った。さらに、2エージェント間の合意形成の1つとして、ここでは、turn-takeの構造に着目した。Turn-takeの振る舞いは自分の目的を達成しながらも、相手の要求に応えて自分の目的を変化させるという交捗過程には必要な構造を含んでいる。通常、一人の特定の相手に対する適応的な戦略構造等に主眼がおかれるが、ここでは、未知の相手との協調行動の創発、適応可能性について注目した。
シミュレーションの結果、幾何学的な軌跡を描くgeometric turn-taking、軌跡やターンの切り替えが規則的に生じないchaotic turn-taking、ノイズの不安定性を利用するnoise-driven turn-takingの3つのカテゴリーに分けられる協調行動としての運動が得られた。これらの進化して得られたエージェントを、世代を変えて相互作用をさせ、得られている振る舞いの複雑さと2者の協調での運動の関係について調べた。geometric turn-takingを行うエージェントは限定された相手とturn-takingを構築することができる。一方、chaotic turn-takingを行うエージェントは比較するとgeometricなものより多くのものとturn-takingを行うことが可能であることがわかった。つまり、協調行動に対して、振る舞いの多様性が、従来の特定の相手に対する適応行動だけでなく、未知の相手に対する潜在的な適応行動を保持しうることをシミュレーションによって示した。こうしたadaptabilityのシミュレーションの結果は本研究が初めてである。
日本学術振興会, 特別研究員奨励費, 東京大学, 01J10950
