Publications研究業績

2024

2024

2024

2024

Conference Papers

Eisuke Matsubara, Satoshi Yagi, Yuta Goto, Satoshi Yamamori, Jun Morimoto (2024)
Improvement of Fault Tolerance of Quadruped Robots by Detecting Correlation Anomalies in Sensor Signals (Best Paper Award)
7th International Symposium on Swarm Behavior and Bio-Inspired Robotics (AROB-ISBC-SWARM 2024)

  • 京都大学
  • ATR

Sho Takeda, Satoshi Yamamori, Satoshi Yagi, Jun Morimoto (2024)
An Empirical Evaluation of A Hierarchical Reinforcement Learning Method towards Modular Robot Control
7th International Symposium on Swarm Behavior and Bio-Inspired Robotics (AROB-ISBC-SWARM 2024)

  • ATR
  • 京都大学

2023

2023

2023

2023

Conference Papers

森田光紀、山森聡、八木聡明、杉本徳和、森本淳(2023)
目的条件付け終端価値推定とそれを用いたモデル予測制御
第26回情報論的学習理論ワークショップ(IBIS2023)

  • ATR
  • 京都大学

後藤祐汰、山森聡、八木聡明、森本淳(2023)
パラメータ空間でのネットワーク混合を用いたマルチタスク強化学習による汎化方策群の獲得
第26回情報論的学習理論ワークショップ(IBIS2023)

  • 京都大学
  • ATR

角田日維、八木聡明、山森聡、森本淳(2023)
多様な動作速度を含むエキスパートデータからの行動クローニング
第26回情報論的学習理論ワークショップ(IBIS2023)

  • ATR
  • 京都大学

2022

2022

2022

2022

Journal Papers

Matija Mavsar, Barry Ridge, Rok Pahič, Jun Morimoto, Aleš Ude (2022)
Simulation-Aided Handover Prediction From Video Using Recurrent Image-to-Motion Networks,
IEEE Transactions on Neural Networks and Learning Systems.
[Open Access]

  • ATR
  • 京都大学

Yutaka Matsuo, Yann LeCun, Maneesh Sahani, Doina Precup, David Silver,
Masashi Sugiyama, Eiji Uchibe, Jun Morimoto (2022)
Deep learning, reinforcement learning, and world models
Neural Networks, Vol. 152, 267-275.
[Open Access]

  • 京都大学
  • ATR

Takeshi D. Itoh, Koji Ishihara, Jun Morimoto (2022)
Implicit Contact Dynamics Modeling With Explicit Inertia Matrix Representation for Real-Time, Model-Based Control in Physical Environment, Neural Computation,
Neural Computation, Vol. 34, Issue 2, 360-377.
[Open Access]

  • ATR
  • 京都大学

2021

2021

2021

2021

Journal Papers

Tom Macpherson, Masayuki Matsumoto, Hiroaki Gomi, Jun Morimoto, Eiji Uchibe, Takatoshi Hikida (2021)
Parallel and hierarchical neural mechanisms for adaptive and predictive behavioral control
Neural Networks, Vol. 144, 507-521,
[Open Access]

  • ATR
  • 京都大学

Jun-ichiro Furukawa, Shinya Chiyohara, Tatsuya Teramae, Asuka Takai, Jun Morimoto (2021)
A Collaborative Filtering Approach Toward Plug-and-Play Myoelectric Robot Control
IEEE Transactions on Human-Machine Systems, Vol. 51, Issue 5, 514-523.
[Open Access]

  • ATR
  • 京都大学

Jun-ichiro Furukawa, Jun Morimoto (2021)
Composing an Assistive Control Strategy Based on Linear Bellman Combination From Estimated User's Motor Goal
IEEE Robotics and Automation Letters, Vol. 6, Issue 2, 1051-1058.
[Open Access]

  • ATR
  • 京都大学

Conference Papers

Koji Ishihara, Jun Morimoto (2021)
Computationally Affordable Hierarchical Framework for Humanoid Robot Control
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems
(IROS).
[Available Online]

  • ATR
  • 京都大学