Rchr
J-GLOBAL ID:201901014497608666   Update date: Sep. 04, 2024

Osa Takayuki

Osa Takayuki
Affiliation and department:
Job title: Associate Professor
Homepage URL  (1): https://takaosa.github.io/
Research field  (3): Mechanics and mechatronics ,  Robotics and intelligent systems ,  Intelligent robotics
Research keywords  (3): Reinforcement Learning ,  Motion planning ,  Robotics
Research theme for competitive and other funds  (5):
  • 2023 - 2025 Development of Reinfrocement Learning Algorithm and Intrinsic Rewards for Meta-models
  • 2022 - 2025 Motion Planning with Active Contacts Using Redundant and Soft Robots
  • 2019 - 2023 Hierarchical Reinforcement Learning for Autonomous Motion Planning with Real Robots
  • 2016 - 2020 Understanding the Human Skill of Clothing Assistance and its Transfer to a Dual-Arm Robot System
  • 2013 - 2015 画像情報を利用した腹腔鏡下手術支援システムの知能化に関する研究
Papers (57):
  • Takayuki Osa, Tatsuya Harada. Discovering Multiple Solutions from a Single Task in Offline Reinforcement Learning. Proceedings of the International Conference on Machine Learning. 2024
  • Takayuki Osa, Tatsuya Harada. Robustifying a Policy in Multi-Agent RL with Diverse Cooperative Behaviors and Adversarial Style Sampling for Assistive Tasks. Proceedings of the IEEE International Conferences on Robotics and Automation (ICRA). 2024
  • Naoki Morihira, Akinobu Hayashi, Manoj Bhado, Tadaaki Hasegawa, Satochi Otsubo, Pranav Deo, Takayuki Osa. Touch-Based Manipulation with Multi-Fingered Robot using Off-policy RL and Temporal Contrastive Learning. Proceedings of the IEEE International Conferences on Robotics and Automation (ICRA). 2024
  • Open X-Embodiment Collaboration, Takayuki Osa. Open X-Embodiment: Robotic Learning Datasets and RT-X Models. Proceedings of the IEEE International Conferences on Robotics and Automation (ICRA). 2024
  • Motoki Omura, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada. Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 2024. 38. 13. 14474-14481
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MISC (7):
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Books (2):
  • データ分析の進め方 及び AI・機械学習の導入の指南
    (株)情報機構書籍 2020
  • An Algorithmic Perspective on Imitation Learning
    Now Publisher 2018
Lectures and oral presentations  (33):
  • 深層強化学習による掘削動作の異なる土質へのfewshot adaptation
    (第40回 日本ロボット学会学術講演会 2022)
  • 動的障害物回避のための多峰性最適化を用い たオンライン軌道計画法
    (第40回 日本ロボット学会学術講演会 2022)
  • Parameter Optimization in the Drying Process of Catalyst Ink for PEFC Electrode Films with Few Cracks
    (The 240th ECS meeting)
  • 多様なロボットの挙動を学習する深層強化学習
    (第39回日本ロボット学会学術講演会 2021)
  • Automation of Winding Thick Wires for the Electrical Industry with Performance-Indicating Discriminator
    (IEEE 17th International Conference on Automation Science and Engineering 2021)
more...
Education (3):
  • 2012 - 2015 The University of Tokyo Doctoral Course, Department of Mechanical Engineering
  • 2007 - 2010 The University of Tokyo
  • 2003 - 2007 The University of Tokyo Faculty of Engineering
Professional career (1):
  • Ph.D (The University of Tokyo)
Work history (10):
  • 2024/04 - 現在 The University of Tokyo The Graduate School of Information Science and Technology Associate Professor
  • 2022/07 - 現在 RIKEN Center for Advanced Intelligence Project (AIP) Imperfect information learning team Visiting researcher
  • 2022/06 - 2024/03 The University of Tokyo Associate Professor
  • 2019/05 - 2022/05 RIKEN Center for Advanced Intelligence Project (AIP) Imperfect information learning team Visiting researcher
  • 2019/03 - 2022/05 Kyushu Institute of Technology Graduate School of Life Science and Systems Engineering Department of Human Intelligence Systems Associate Professor
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Committee career (22):
  • 2024/05 - 現在 Conference on Robot Learning (CoRL) Area Chair
  • 2023/02 - 現在 International Journal of Robotics Research Associate Editor
  • 2021/07 - 現在 IEEE Robotics and Automation Society Associate Editor for Robotics and Automation Letters (RA-L)
  • 2023/05 - 2023/11 Conference on Robot Learning (CoRL) Area Chair
  • 2022/05 - 2022/12 Conference on Robot Learning (CoRL) Area Chair
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Awards (3):
  • 2024/05 - IEEE Robotics and Automation Society IEEE ICRA Best Conference Paper Award Open X-Embodiment: Robotic Learning Datasets and RT-X Models
  • 2014/06 - 2014 IEEE Robotics and Automation Society Japan Chapter Young Award (ICRA2014)
  • 2008/03 - 工作機械技術振興財団 平成19年度 工作機械技術振興財団奨励賞
Association Membership(s) (2):
IEEE ,  THE ROBOTICS SOCIETY OF JAPAN
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