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Morimoto, Jun

Graduate School of Informatics, Department of Informatics Professor

Morimoto, Jun
list
    Last Updated :2025/05/22

    Basic Information

    Faculty

    • 工学部

    Academic Degree

    • 博士(工学)(奈良先端科学技術大学院大学)
    • 修士(工学)(奈良先端科学技術大学院大学)

    Research History

    • From Dec. 2019, To Mar. 2021
      RIKEN, Team Leader
    • From Apr. 2001, To Mar. 2002
      Carnegie Mellon University, The Robotics Institute, Postdoctoral Fellow
    • From Apr. 2021, To Present
      Kyoto University, Gradulate School of Informatics, Professor
    • From Apr. 2008, To Present
      Advanced Telecommunications Research Institute International (ATR), Computational Neuroscience Laboratories, Head of Department

    ID,URL

    researchmap URL

    list
      Last Updated :2025/05/22

      Research

      Research Interests

      • Robotics
      • Reinforcement Learning
      • Humanoid Robots
      • Computational Neuroscience

      Papers

      • Stable Control of Force, Position, and Stiffness for Robot Joints Powered via Pneumatic Muscles
        Barkan Ugurlu; Paolo Forni; Corinne Doppmann; Emre Sariyildiz; Jun Morimoto
        IEEE Transactions on Industrial Informatics, Dec. 2019
      • EEG Sensorimotor Correlates of Speed During Forearm Passive Movements
        Fumiaki Iwane; Giuseppe Lisi; Jun Morimoto
        IEEE Transactions on Neural Systems and Rehabilitation Engineering, Sep. 2019
      • Design of physical user–robot interactions for model identification of soft actuators on exoskeleton robots
        Masashi Hamaya; Takamitsu Matsubara; Tatsuya Teramae; Tomoyuki Noda; Jun Morimoto
        The International Journal of Robotics Research, 06 Jun. 2019
      • Assistive Arm-Exoskeleton Control Based on Human Muscular Manipulability
        Tadej Petrič; Luka Peternel; Jun Morimoto; Jan Babič
        Frontiers in Neurorobotics, 29 May 2019
      • Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias
        Ayumu Yamashita; Noriaki Yahata; Takashi Itahashi; Giuseppe Lisi; Takashi Yamada; Naho Ichikawa; Masahiro Takamura; Yujiro Yoshihara; Akira Kunimatsu; Naohiro Okada; Hirotaka Yamagata; Koji Matsuo; Ryuichiro Hashimoto; Go Okada; Yuki Sakai; Jun Morimoto; Jin Narumoto; Yasuhiro Shimada; Kiyoto Kasai; Nobumasa Kato; Hidehiko Takahashi; Yasumasa Okamoto; Saori C. Tanaka; Mitsuo Kawato; Okito Yamashita; Hiroshi Imamizu
        PLOS Biology, 18 Apr. 2019
      • Human-In-The-Loop Control and Task Learning for Pneumatically Actuated Muscle Based Robots
        Tatsuya Teramae; Koji Ishihara; Jan Babič; Jun Morimoto; Erhan Oztop
        Frontiers in Neurorobotics, 06 Nov. 2018
      • An optimal control strategy for hybrid actuator systems: Application to an artificial muscle with electric motor assist
        Koji Ishihara; Jun Morimoto
        Neural Networks, Mar. 2018
      • Skill learning and action recognition by arc-length dynamic movement primitives
        Timotej Gašpar; Bojan Nemec; Jun Morimoto; Aleš Ude
        Robotics and Autonomous Systems, Feb. 2018
      • Markov Switching Model for Quick Detection of Event Related Desynchronization in EEG
        Giuseppe Lisi; Diletta Rivela; Asuka Takai; Jun Morimoto
        Frontiers in Neuroscience, 01 Feb. 2018
      • EMG-Based Model Predictive Control for Physical Human–Robot Interaction: Application for Assist-As-Needed Control
        Tatsuya Teramae; Tomoyuki Noda; Jun Morimoto
        IEEE Robotics and Automation Letters, Jan. 2018
      • Soft humanoid motor learning
        Jun Morimoto
        Science Robotics, 20 Dec. 2017
      • Learning assistive strategies for exoskeleton robots from user-robot physical interaction
        Masashi Hamaya; Takamitsu Matsubara; Tomoyuki Noda; Tatsuya Teramae; Jun Morimoto
        Pattern Recognition Letters, Nov. 2017
      • A Neural Marker of Obsessive-Compulsive Disorder from Whole-Brain Functional Connectivity
        Yu Takagi; Yuki Sakai; Giuseppe Lisi; Noriaki Yahata; Yoshinari Abe; Seiji Nishida; Takashi Nakamae; Jun Morimoto; Mitsuo Kawato; Jin Narumoto; Saori C Tanaka
        Scientific Reports, 08 Aug. 2017
      • Human Movement Modeling to Detect Biosignal Sensor Failures for Myoelectric Assistive Robot Control
        Jun-ichiro Furukawa; Tomoyuki Noda; Tatsuya Teramae; Jun Morimoto
        IEEE Transactions on Robotics, Aug. 2017
      • Model-based reinforcement learning with dimension reduction
        Voot Tangkaratt; Jun Morimoto; Masashi Sugiyama
        Neural Networks, Dec. 2016
      • An EMG-Driven Weight Support System With Pneumatic Artificial Muscles
        Jun-ichiro Furukawa; Tomoyuki Noda; Tatsuya Teramae; Jun Morimoto
        IEEE Systems Journal, Sep. 2016
      • A small number of abnormal brain connections predicts adult autism spectrum disorder
        Noriaki Yahata; Jun Morimoto; Ryuichiro Hashimoto; Giuseppe Lisi; Kazuhisa Shibata; Yuki Kawakubo; Hitoshi Kuwabara; Miho Kuroda; Takashi Yamada; Fukuda Megumi; Hiroshi Imamizu; José E. Náñez Sr; Hidehiko Takahashi; Yasumasa Okamoto; Kiyoto Kasai; Nobumasa Kato; Yuka Sasaki; Takeo Watanabe; Mitsuo Kawato
        Nature Communications, 14 Apr. 2016
      • Trial and Error: Using Previous Experiences as Simulation Models in Humanoid Motor Learning
        Norikazu Sugimoto; Voot Tangkaratt; Thijs Wensveen; Tingting Zhao; Masashi Sugiyama; Jun Morimoto
        IEEE Robotics & Automation Magazine, Mar. 2016
      • Adaptive Control of Exoskeleton Robots for Periodic Assistive Behaviours Based on EMG Feedback Minimisation
        Luka Peternel; Tomoyuki Noda; Tadej Petrič; Aleš Ude; Jun Morimoto; Jan Babič
        PLOS ONE, 16 Feb. 2016
      • Adaptation and coaching of periodic motion primitives through physical and visual interaction
        Andrej Gams; Tadej Petrič; Martin Do; Bojan Nemec; Jun Morimoto; Tamim Asfour; Aleš Ude
        Robotics and Autonomous Systems, Jan. 2016
      • Spatiotemporal synchronization of biped walking patterns with multiple external inputs by style–phase adaptation
        Takamitsu Matsubara; Akimasa Uchikata; Jun Morimoto
        Biological Cybernetics, 12 Oct. 2015
      • EEG Single-Trial Detection of Gait Speed Changes during Treadmill Walk
        Giuseppe Lisi; Jun Morimoto
        PLOS ONE, 01 May 2015
      • Fault tolerant approach for biosignal-based robot control
        Jun-ichiro Furukawa; Tomoyuki Noda; Tatsuya Teramae; Jun Morimoto
        Advanced Robotics, 03 Apr. 2015
      • Creating the brain and interacting with the brain: an integrated approach to understanding the brain
        Jun Morimoto; Mitsuo Kawato
        Journal of The Royal Society Interface, 06 Mar. 2015
      • Variable Ankle Stiffness Improves Balance Control: Experiments on a Bipedal Exoskeleton
        Barkan Ugurlu; Corinne Doppmann; Masashi Hamaya; Paolo Forni; Tatsuya Teramae; Tomoyuki Noda; Jun Morimoto
        IEEE/ASME Transactions on Mechatronics, 2015
      • Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation
        Voot Tangkaratt; Syogo Mori; Tingting Zhao; Jun Morimoto; Masashi Sugiyama
        Neural Networks, Sep. 2014
      • Brain-machine interfacing control of whole-body humanoid motion
        Karim Bouyarmane; Joris Vaillant; Norikazu Sugimoto; François Keith; Jun-ichiro Furukawa; Jun Morimoto
        Frontiers in Systems Neuroscience, 05 Aug. 2014
      • Decoding the ERD/ERS: influence of afferent input induced by a leg assistive robot
        Giuseppe Lisi; Tomoyuki Noda; Jun Morimoto
        Frontiers in Systems Neuroscience, 14 May 2014
      • Bilinear Modeling of EMG Signals to Extract User-Independent Features for Multiuser Myoelectric Interface
        Takamitsu Matsubara; Jun Morimoto
        IEEE Transactions on Biomedical Engineering, Aug. 2013
      • Integrating visual perception and manipulation for autonomous learning of object representations
        David Schiebener; Jun Morimoto; Tamim Asfour; Aleš Ude
        Adaptive Behavior, 15 Jul. 2013
      • COMBINING CORRELATION-BASED AND REWARD-BASED LEARNING IN NEURAL CONTROL FOR POLICY IMPROVEMENT
        PORAMATE MANOONPONG; CHRISTOPH KOLODZIEJSKI; FLORENTIN WÖRGÖTTER; JUN MORIMOTO
        Advances in Complex Systems, May 2013
      • Extraction of primitive representation from captured human movements and measured ground reaction force to generate physically consistent imitated behaviors
        Yuka Ariki; Sang-Ho Hyon; Jun Morimoto
        Neural Networks, Apr. 2013
      • On-line motion synthesis and adaptation using a trajectory database
        Denis Forte; Andrej Gams; Jun Morimoto; Aleš Ude
        Robotics and Autonomous Systems, Oct. 2012
      • The eMOSAIC model for humanoid robot control
        Norikazu Sugimoto; Jun Morimoto; Sang-Ho Hyon; Mitsuo Kawato
        Neural Networks, May 2012
      • Real-time stylistic prediction for whole-body human motions
        Takamitsu Matsubara; Sang-Ho Hyon; Jun Morimoto
        Neural Networks, Jan. 2012
      • Learning parametric dynamic movement primitives from multiple demonstrations
        Takamitsu Matsubara; Sang-Ho Hyon; Jun Morimoto
        Neural Networks, Jun. 2011
      • Task-Specific Generalization of Discrete and Periodic Dynamic Movement Primitives
        Aleš Ude; Andrej Gams; Tamim Asfour; Jun Morimoto
        IEEE Transactions on Robotics, Oct. 2010
      • Nonparametric representation of an approximated Poincaré map for learning biped locomotion
        Jun Morimoto; Christopher G. Atkeson
        Autonomous Robots, Aug. 2009
      • A Biologically Inspired Biped Locomotion Strategy for Humanoid Robots: Modulation of Sinusoidal Patterns by a Coupled Oscillator Model
        Jun Morimoto; Gen Endo; Jun Nakanishi; Gordon Cheng
        IEEE Transactions on Robotics, Feb. 2008
      • Learning CPG-based Biped Locomotion with a Policy Gradient Method: Application to a Humanoid Robot
        Gen Endo; Jun Morimoto; Takamitsu Matsubara; Jun Nakanishi; Gordon Cheng
        The International Journal of Robotics Research, 01 Feb. 2008
      • Learning to Acquire Whole-Body Humanoid Center of Mass Movements to Achieve Dynamic Tasks
        Takamitsu Matsubara; Jun Morimoto; Jun Nakanishi; Sang-Ho Hyon; Joshua G. Hale; Gordon Cheng
        Advanced Robotics, Jan. 2008
      • Learning Biped Locomotion
        Jun Morimoto; Christopher Atkeson
        IEEE Robotics & Automation Magazine, Jun. 2007
      • Reinforcement Learning State Estimator
        Jun Morimoto; Kenji Doya
        Neural Computation, Mar. 2007
      • CB: A Humanoid Research Platform for Exploring NeuroScience
        Gordon Cheng; Sang-ho Hyon; Jun Morimoto; Ales Ude; Glenn Colvin; Wayco Scroggin; Stephen Jacobsen
        2006 6th IEEE-RAS International Conference on Humanoid Robots, Dec. 2006
      • Learning CPG-based biped locomotion with a policy gradient method
        Takamitsu Matsubara; Jun Morimoto; Jun Nakanishi; Masa-aki Sato; Kenji Doya
        Robotics and Autonomous Systems, Nov. 2006
      • Robust Reinforcement Learning
        Jun Morimoto; Kenji Doya
        Neural Computation, 01 Feb. 2005
      • Learning Sensory Feedback to CPG with Policy Gradient for Biped Locomotion
        T. Matsubara; Jun Morimoto; Jun Nakanishi; M. Sato; K. Doya
        Proceedings of the 2005 IEEE International Conference on Robotics and Automation, Jun. 2004
      • Reinforcement learning with via-point representation
        Hiroyuki Miyamoto; Jun Morimoto; Kenji Doya; Mitsuo Kawato
        Neural Networks, Apr. 2004
      • Acquisition of stand-up behavior by a real robot using hierarchical reinforcement learning
        Jun Morimoto; Kenji Doya
        Robotics and Autonomous Systems, Jul. 2001
      • Hierarchical reinforcement learning for motion learning: learning 'stand-up' trajectories
        Jun Morimoto; Kenji Doya
        Advanced Robotics, Jan. 1998
      • Modeling Inverse Airflow Dynamics Toward Fast Movement Generation Using Pneumatic Artificial Muscle With Long Air Tubes
        Hidaka Asai; Tomoyuki Noda; Tatsuya Teramae; Jun Morimoto
        IEEE/ASME Transactions on Mechatronics, 2024
      • Simulation-Aided Handover Prediction From Video Using Recurrent Image-to-Motion Networks
        Matija Mavsar; Barry Ridge; Rok Pahič; Jun Morimoto; Aleš Ude
        IEEE Transactions on Neural Networks and Learning Systems, Jan. 2024
      • Curriculum-based humanoid robot identification using large-scale human motion database
        Sunhwi Kang; Koji Ishihara; Norikazu Sugimoto; Jun Morimoto
        Frontiers in Robotics and AI, 30 Nov. 2023
      • Proprioceptive short-term memory in passive motor learning
        Shinya Chiyohara; Jun-ichiro Furukawa; Tomoyuki Noda; Jun Morimoto; Hiroshi Imamizu
        Scientific Reports, 27 Nov. 2023
      • Learning to Shape by Grinding: Cutting-Surface-Aware Model-Based Reinforcement Learning
        Takumi Hachimine; Jun Morimoto; Takamitsu Matsubara
        IEEE Robotics and Automation Letters, Oct. 2023
      • Development of split-force-controlled body weight support (SF-BWS) robot for gait rehabilitation
        Asuka Takai; Tatsuya Teramae; Tomoyuki Noda; Koji Ishihara; Jun-ichiro Furukawa; Hiroaki Fujimoto; Megumi Hatakenaka; Nobukazu Fujita; Akihiro Jino; Yuichi Hiramatsu; Ichiro Miyai; Jun Morimoto
        Frontiers in Human Neuroscience, 11 Jul. 2023
      • Distinctive alterations in the mesocorticolimbic circuits in various psychiatric disorders
        Yuko Nakamura; Takuya Ishida; Saori C. Tanaka; Yuki Mitsuyama; Satoshi Yokoyama; Hotaka Shinzato; Eri Itai; Go Okada; Yuko Kobayashi; Takahiko Kawashima; Jun Miyata; Yujiro Yoshihara; Hidehiko Takahashi; Ryuta Aoki; Motoaki Nakamura; Haruhisa Ota; Takashi Itahashi; Susumu Morita; Shintaro Kawakami; Osamu Abe; Naohiro Okada; Akira Kunimatsu; Ayumu Yamashita; Okito Yamashita; Hiroshi Imamizu; Jun Morimoto; Yasumasa Okamoto; Toshiya Murai; Ryu‐Ichiro Hashimoto; Kiyoto Kasai; Mitsuo Kawato; Shinsuke Koike
        Psychiatry and Clinical Neurosciences, 30 Mar. 2023
      • Aberrant Large-Scale Network Interactions Across Psychiatric Disorders Revealed by Large-Sample Multi-Site Resting-State Functional Magnetic Resonance Imaging Datasets
        Takuya Ishida; Yuko Nakamura; Saori C Tanaka; Yuki Mitsuyama; Satoshi Yokoyama; Hotaka Shinzato; Eri Itai; Go Okada; Yuko Kobayashi; Takahiko Kawashima; Jun Miyata; Yujiro Yoshihara; Hidehiko Takahashi; Susumu Morita; Shintaro Kawakami; Osamu Abe; Naohiro Okada; Akira Kunimatsu; Ayumu Yamashita; Okito Yamashita; Hiroshi Imamizu; Jun Morimoto; Yasumasa Okamoto; Toshiya Murai; Kiyoto Kasai; Mitsuo Kawato; Shinsuke Koike
        Schizophrenia Bulletin, 09 Mar. 2023
      • Learning acquisition of consistent leader–follower relationships depends on implicit haptic interactions
        Asuka Takai; Qiushi Fu; Yuzuru Doibata; Giuseppe Lisi; Toshiki Tsuchiya; Keivan Mojtahedi; Toshinori Yoshioka; Mitsuo Kawato; Jun Morimoto; Marco Santello
        Scientific Reports, 01 Mar. 2023
      • Robotized Knee-Ankle-Foot Orthosis-Assisted Gait Training on Genu Recurvatum during Gait in Patients with Chronic Stroke: A Feasibility Study and Case Report
        Yoko Takahashi; Kohsuke Okada; Tomoyuki Noda; Tatsuya Teramae; Takuya Nakamura; Koshiro Haruyama; Kohei Okuyama; Kengo Tsujimoto; Katsuhiro Mizuno; Jun Morimoto; Michiyuki Kawakami
        Journal of Clinical Medicine, 04 Jan. 2023
      • Randomized-to-Canonical Model Predictive Control for Real-World Visual Robotic Manipulation
        Tomoya Yamanokuchi; Yuhwan Kwon; Yoshihisa Tsurumine; Eiji Uchibe; Jun Morimoto; Takamitsu Matsubara
        IEEE Robotics and Automation Letters, Oct. 2022
      • Deep learning, reinforcement learning, and world models
        Yutaka Matsuo; Yann LeCun; Maneesh Sahani; Doina Precup; David Silver; Masashi Sugiyama; Eiji Uchibe; Jun Morimoto
        Neural Networks, Aug. 2022
      • Development of a classifier for gambling disorder based on functional connections between brain regions
        Hideaki Takeuchi; Noriaki Yahata; Giuseppe Lisi; Kosuke Tsurumi; Yujiro Yoshihara; Ryosaku Kawada; Takuro Murao; Hiroto Mizuta; Tatsunori Yokomoto; Takashi Miyagi; Yukako Nakagami; Toshinori Yoshioka; Junichiro Yoshimoto; Mitsuo Kawato; Toshiya Murai; Jun Morimoto; Hidehiko Takahashi
        Psychiatry and Clinical Neurosciences, 14 Apr. 2022
      • Selective Assist Strategy by Using Lightweight Carbon Frame Exoskeleton Robot
        Jun-ichiro Furukawa; Shotaro Okajima; Qi An; Yuichi Nakamura; Jun Morimoto
        IEEE Robotics and Automation Letters, Apr. 2022
      • Implicit Contact Dynamics Modeling With Explicit Inertia Matrix Representation for Real-Time, Model-Based Control in Physical Environment
        Takeshi D. Itoh; Koji Ishihara; Jun Morimoto
        Neural Computation, 14 Jan. 2022
      • Parallel and hierarchical neural mechanisms for adaptive and predictive behavioral control
        Tom Macpherson; Masayuki Matsumoto; Hiroaki Gomi; Jun Morimoto; Eiji Uchibe; Takatoshi Hikida
        Neural Networks, Dec. 2021
      • Bayesian Estimation of Potential Performance Improvement Elicited by Robot-Guided Training
        Asuka Takai; Giuseppe Lisi; Tomoyuki Noda; Tatsuya Teramae; Hiroshi Imamizu; Jun Morimoto
        Frontiers in Neuroscience, 21 Oct. 2021
      • A Collaborative Filtering Approach Toward Plug-and-Play Myoelectric Robot Control
        Jun-ichiro Furukawa; Shinya Chiyohara; Tatsuya Teramae; Asuka Takai; Jun Morimoto
        IEEE Transactions on Human-Machine Systems, Oct. 2021
      • A multi-site, multi-disorder resting-state magnetic resonance image database
        Saori C. Tanaka; Ayumu Yamashita; Noriaki Yahata; Takashi Itahashi; Giuseppe Lisi; Takashi Yamada; Naho Ichikawa; Masahiro Takamura; Yujiro Yoshihara; Akira Kunimatsu; Naohiro Okada; Ryuichiro Hashimoto; Go Okada; Yuki Sakai; Jun Morimoto; Jin Narumoto; Yasuhiro Shimada; Hiroaki Mano; Wako Yoshida; Ben Seymour; Takeshi Shimizu; Koichi Hosomi; Youichi Saitoh; Kiyoto Kasai; Nobumasa Kato; Hidehiko Takahashi; Yasumasa Okamoto; Okito Yamashita; Mitsuo Kawato; Hiroshi Imamizu
        Scientific Data, 30 Aug. 2021
      • Composing an Assistive Control Strategy Based on Linear Bellman Combination From Estimated User's Motor Goal
        Jun-ichiro Furukawa; Jun Morimoto
        IEEE Robotics and Automation Letters, Apr. 2021
      • Quaternion-Based Trajectory Optimization of Human Postures for Inducing Target Muscle Activation Patterns
        Tatsuya Teramae; Takamitsu Matsubara; Tomoyuki Noda; Jun Morimoto
        IEEE Robotics and Automation Letters, Oct. 2020
      • Phase portraits as movement primitives for fast humanoid robot control
        Guilherme Maeda; Okan Koç; Jun Morimoto
        Neural Networks, Sep. 2020
      • Passive training with upper extremity exoskeleton robot affects proprioceptive acuity and performance of motor learning
        Shinya Chiyohara; Jun-ichiro Furukawa; Tomoyuki Noda; Jun Morimoto; Hiroshi Imamizu
        Scientific Reports, 16 Jul. 2020
      • Training of deep neural networks for the generation of dynamic movement primitives
        Rok Pahič; Barry Ridge; Andrej Gams; Jun Morimoto; Aleš Ude
        Neural Networks, Jul. 2020
      • Overlapping but Asymmetrical Relationships Between Schizophrenia and Autism Revealed by Brain Connectivity
        Yujiro Yoshihara; Giuseppe Lisi; Noriaki Yahata; Junya Fujino; Yukiko Matsumoto; Jun Miyata; Gen-ichi Sugihara; Shin-ichi Urayama; Manabu Kubota; Masahiro Yamashita; Ryuichiro Hashimoto; Naho Ichikawa; Weipke Cahn; Neeltje E M van Haren; Susumu Mori; Yasumasa Okamoto; Kiyoto Kasai; Nobumasa Kato; Hiroshi Imamizu; René S Kahn; Akira Sawa; Mitsuo Kawato; Toshiya Murai; Jun Morimoto; Hidehiko Takahashi
        Schizophrenia Bulletin, 17 Apr. 2020
      • Primary functional brain connections associated with melancholic major depressive disorder and modulation by antidepressants
        Naho Ichikawa; Giuseppe Lisi; Noriaki Yahata; Go Okada; Masahiro Takamura; Ryu-ichiro Hashimoto; Takashi Yamada; Makiko Yamada; Tetsuya Suhara; Sho Moriguchi; Masaru Mimura; Yujiro Yoshihara; Hidehiko Takahashi; Kiyoto Kasai; Nobumasa Kato; Shigeto Yamawaki; Ben Seymour; Mitsuo Kawato; Jun Morimoto; Yasumasa Okamoto
        Scientific Reports, 26 Feb. 2020
      • Full-Body Optimal Control Toward Versatile and Agile Behaviors in a Humanoid Robot
        Koji Ishihara; Takeshi D. Itoh; Jun Morimoto
        IEEE Robotics and Automation Letters, Jan. 2020

      External funds: Kakenhi

      • Generative adversarial brain: a comprehensive study of multi-agent learning by natural and artificial intelligence
        Grant-in-Aid for Scientific Research (S)
        Broad Section J
        Kyoto University
        石井 信
        From 27 Apr. 2022, To 31 Mar. 2027, Granted
        敵対生成脳;意思決定;計算神経科学;強化学習;ロボティクス;計算論的神経科学;敵対的生成ネットワーク;Artificial intelligence;Meta learning;Agile robotics
      • 作業価値関数の相互獲得を通じた人とロボットの共有学習制御手法の開発
        Grant-in-Aid for Scientific Research (B)
        Basic Section 61050:Intelligent robotics-related
        Kyoto University
        森本 淳
        From 01 Apr. 2022, To 31 Mar. 2025, Granted
        強化学習;ロボティクス;テレオペレーション;機械学習
      • Cooperative control of multiple assistive devices according to synchronized muscle activation in human standing-up motion
        Grant-in-Aid for Scientific Research (B)
        Basic Section 20020:Robotics and intelligent system-related
        The University of Tokyo
        安 ち
        From 01 Apr. 2022, To 31 Mar. 2025, Granted
        アシストロボット;筋シナジー;筋骨格シミュレーション;起立動作;運動の支援機器;筋骨格モデル
      • 敵対生成脳の計算理論と人工知能応用
        Grant-in-Aid for Scientific Research (A)
        Medium-sized Section 61:Human informatics and related fields
        Kyoto University
        石井 信
        From 01 Apr. 2022, To 31 Mar. 2023, Discontinued
        敵対生成脳;計算論的神経科学;知能ロボティクス;深層強化学習;脳型人工知能;計算神経科学;非侵襲脳活動計測;サル神経生理;ベイズ学習
      • 自信を持たせる動作支援: 動作予測と体性感覚呈示とモニタリングによる柔らかい支援
        Grant-in-Aid for Scientific Research (A)
        Medium-sized Section 61:Human informatics and related fields
        Kyoto University
        中村 裕一
        From 05 Apr. 2021, To 31 Mar. 2026, Granted
        動作支援;動作予測;体性感覚呈示;QOLモニタリング;筋電位計測
      • Internal model construction by observing others and policy acquisition through self learning
        Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
        Complex systems
        Kyoto University;Advanced Telecommunications Research Institute International
        Jun Morimoto
        From 30 Jun. 2016, To 31 Mar. 2021, Project Closed
        強化学習;モデル予測制御;ヒューマノイドロボット;非線形最適制御;ロボティクス;機械学習
      • Development of Machine Learning Theory for Prediction and Decision Making and Its Realization in Neural Networks
        Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
        Complex systems
        The University of Tokyo;Tokyo Institute of Technology
        Masashi Sugiyama
        From 01 Apr. 2011, To 31 Mar. 2016, Project Closed
        予測;意志決定;機械学習;特徴選択;強化学習;ロボット制御;意思決定;スパース学習;ロバスト学習;制御理論
      • Theory and experiment of skill transfer by direct teaching and online learning
        Grant-in-Aid for Young Scientists (A)
        Ritsumeikan University;Advanced Telecommunications Research Institute International
        Soukou GEN
        From 01 Apr. 2009, To 31 Mar. 2012, Project Closed
        知能ロボット
      • 作業価値関数の相互獲得を通じた人とロボットの共有学習制御手法の開発
        Grant-in-Aid for Scientific Research (B)
        Basic Section 61050:Intelligent robotics-related
        Kyoto University
        森本 淳
        From 01 Apr. 2022, To 31 Mar. 2025, Granted
        強化学習;ロボティクス;テレオペレーション;機械学習
      • Cooperative control of multiple assistive devices according to synchronized muscle activation in human standing-up motion
        Grant-in-Aid for Scientific Research (B)
        Basic Section 20020:Robotics and intelligent system-related
        The University of Tokyo
        安 ち
        From 01 Apr. 2022, To 31 Mar. 2025, Granted
        アシストロボット;筋シナジー;筋骨格シミュレーション;起立動作;運動の支援機器;筋骨格モデル
      • 作業価値関数の相互獲得を通じた人とロボットの共有学習制御手法の開発
        Grant-in-Aid for Scientific Research (B)
        Basic Section 61050:Intelligent robotics-related
        Kyoto University
        森本 淳
        From 01 Apr. 2022, To 31 Mar. 2025, Granted
        強化学習;ロボティクス;テレオペレーション;機械学習
      • Cooperative control of multiple assistive devices according to synchronized muscle activation in human standing-up motion
        Grant-in-Aid for Scientific Research (B)
        Basic Section 20020:Robotics and intelligent system-related
        The University of Tokyo
        安 ち
        From 01 Apr. 2022, To 31 Mar. 2025, Granted
        アシストロボット;筋シナジー;筋骨格シミュレーション;筋力モビリティ楕円体;高齢者;起立動作;運動の支援機器;筋骨格モデル
      • Generative adversarial brain: a comprehensive study of multi-agent learning by natural and artificial intelligence
        Grant-in-Aid for Scientific Research (S)
        Broad Section J
        Kyoto University
        石井 信
        From 27 Apr. 2022, To 31 Mar. 2027, Granted
        敵対生成脳;意思決定;計算神経科学;強化学習;ロボティクス;計算論的神経科学;敵対的生成ネットワーク;Artificial Intelligence;Meta learning;Agile robotics;Artificial intelligence
      • 自信を持たせる動作支援: 動作予測と体性感覚呈示とモニタリングによる柔らかい支援
        Grant-in-Aid for Scientific Research (A)
        Medium-sized Section 61:Human informatics and related fields
        Kyoto University
        中村 裕一
        From 05 Apr. 2021, To 31 Mar. 2026, Granted
        動作支援;動作予測;体性感覚呈示;QOLモニタリング;筋電位計測
      list
        Last Updated :2025/05/22

        Education

        Teaching subject(s)

        • From 01 Apr. 2024, To 31 Mar. 2025
          Introduction to Systems Analysis
          9007, Fall, Faculty of Engineering, 2
        • From 01 Apr. 2024, To 31 Mar. 2025
          Graduation Thesis 1
          9991, Spring, Faculty of Engineering, 2
        • From 01 Apr. 2024, To 31 Mar. 2025
          Graduation Thesis 1
          9991, Fall, Faculty of Engineering, 2
        • From 01 Apr. 2024, To 31 Mar. 2025
          Introduction to Applied Mathematics and Physics
          9114, Spring, Faculty of Engineering, 2
        • From 01 Apr. 2024, To 31 Mar. 2025
          Theory of Learning Machines
          3556, Fall, Graduate School of Informatics, 2
        • From 01 Apr. 2024, To 31 Mar. 2025
          Systems Science, Advanced I
          3542, Spring, Graduate School of Informatics, 2
        • From 01 Apr. 2024, To 31 Mar. 2025
          Systems Science, Advanced II
          3512, Fall, Graduate School of Informatics, 2
        • From 01 Apr. 2024, To 31 Mar. 2025
          Graduation Thesis 2
          9992, Spring, Faculty of Engineering, 3
        • From 01 Apr. 2024, To 31 Mar. 2025
          Graduation Thesis 2
          9992, Fall, Faculty of Engineering, 3
        • From 01 Apr. 2023, To 31 Mar. 2024
          Introduction to Applied Mathematics and Physics
          9114, Spring, Faculty of Engineering, 2
        • From 01 Apr. 2023, To 31 Mar. 2024
          Introduction to Systems Analysis
          9007, Fall, Faculty of Engineering, 2
        • From 01 Apr. 2023, To 31 Mar. 2024
          Theory of Learning Machines
          3556, Fall, Graduate School of Informatics, 2
        • From 01 Apr. 2023, To 31 Mar. 2024
          Systems Science, Advanced I
          3542, Spring, Graduate School of Informatics, 2
        • From 01 Apr. 2023, To 31 Mar. 2024
          Systems Science, Advanced II
          3512, Fall, Graduate School of Informatics, 2
        • From 01 Apr. 2022, To 31 Mar. 2023
          Introduction to Systems Analysis
          9007, Fall, Faculty of Engineering, 2
        • From 01 Apr. 2022, To 31 Mar. 2023
          Systems Science, Advanced II
          3512, Fall, Graduate School of Informatics, 2
        • From 01 Apr. 2022, To 31 Mar. 2023
          Systems Science, Advanced I
          3542, Spring, Graduate School of Informatics, 2
        • From 01 Apr. 2022, To 31 Mar. 2023
          ILAS Seminar
          Z001, Spring, Institute for Liberal Arts and Sciences, 2
        • From 01 Apr. 2022, To 31 Mar. 2023
          Theory of Learning Machines
          3556, Fall, Graduate School of Informatics, 2
        • From Apr. 2021, To Mar. 2022
          Theory of Information Systems, Advanced
          Fall, 情報学研究科
        • From Apr. 2021, To Mar. 2022
          Systems Science, Advanced II
          Fall, 情報学研究科
        • From Apr. 2021, To Mar. 2022
          Systems Science, Advanced I
          Spring, 情報学研究科

        Participation in PhD Defense

        • Offline Reinforcement Learning from Imperfect Human Guidance
          ZHANG, GUOXI, Graduate School of Informatics, Sub-chief Examiner
          24 Jul. 2023
        • Design and Realization of Wearable Haptic Devices for Improved Human-Machine Interaction in Neurofeedback and Robot-Assisted Surgery
          FARHAD SHABANI, Graduate School of Engineering, Sub-chief Examiner
          23 Mar. 2023
        • Fast Model Predictive Control of Robotic Systems with Rigid Contacts
          KATAYAMA SOTARO, Graduate School of Informatics, Sub-chief Examiner
          26 Sep. 2022
        • Sample-efficient Data-driven Learning of Dynamical Systems with Physical Prior Information and Active Learning
          TANG SHENGBING, Graduate School of Engineering, Sub-chief Examiner
          25 Jul. 2022
        list
          Last Updated :2025/05/22

          Administration

          School management (title, position)

          • From 01 Apr. 2022, To 31 Mar. 2024
            学生生活委員会 委員

          Faculty management (title, position)

          • From 01 Apr. 2024, To 31 Mar. 2025
            工学部情報学科数理工学コース長
          • From 01 Apr. 2024, To 31 Mar. 2025
            財務委員会委員長
          • From 01 Apr. 2022, To 31 Mar. 2023
            制規委員会委員
          • From 01 Apr. 2022, To 31 Mar. 2023
            専攻長
          • From 01 Apr. 2022, To 31 Mar. 2023
            情報セキュリティ委員会 委員
          • From 01 Apr. 2021, To 31 Mar. 2022
            基盤整備委員会副委員長

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