研究者
J-GLOBAL ID:202401008109034181   更新日: 2024年09月11日

西村 陽樹

Nishimura Haruki
所属機関・部署:
職名: Senior Research Scientist
論文 (11件):
  • Joseph A. Vincent, Haruki Nishimura, Masha Itkina, Paarth Shah, Mac Schwager, Thomas Kollar. How Generalizable is My Behavior Cloning Policy? A Statistical Approach to Trustworthy Performance Evaluation. IEEE Robotics and Automation Letters. 2024. 9. 10. 8619-8626
  • Joseph A Vincen, Haruki Nishimura, Masha Itkina, Mac Schwager. Full-Distribution Generalization Bounds for Imitation Learning Policies. First Workshop on Out-of-Distribution Generalization in Robotics at CoRL 2023. 2023
  • Chenran Li, Chen Tang, Haruki Nishimura, Jean Mercat, Masayoshi Tomizuka, Wei Zhan. Residual Q-Learning: Offline and Online Policy Customization without Value. Advances in Neural Information Processing Systems. 2023. 36. 61857-61869
  • Fernando Castañeda, Haruki Nishimura, Rowan McAllister, Koushil Sreenath, Adrien Gaidon. In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States. Proceedings of The 5th Annual Learning for Dynamics and Control Conference. 2023. 286-299
  • Haruki Nishimura, Jean Mercat, Blake Wulfe, Rowan McAllister, Adrien Gaidon. RAP: Risk-Aware Prediction for Robust Planning. Proceedings of The 6th Conference on Robot Learning. 2022. 381-392
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MISC (1件):
  • シリコンバレーにおけるロボティクス研究と産学教育連携 -大学院生の視点から-. 日本ロボット学会誌. 2022. 40. 2. 117-120
特許 (2件):
  • Systems and methods for risk-sensitive sequential action control for robotic devices
  • Systems and methods for controlling a robot
学歴 (3件):
  • 2017 - 2021 Stanford University School of Engineering Department of Aeronautics and Astronautics
  • 2015 - 2017 Stanford University School of Engineering Department of Aeronautics and Astronautics
  • 2011 - 2015 東京大学 工学部 航空宇宙工学科
経歴 (2件):
  • 2024/04 - 現在 Toyota Research Institute Large Behavior Models Senior Research Scientist
  • 2021/11 - 2024/04 Toyota Research Institute Robotics / Machine Learning Research Scientist
受賞 (5件):
  • 2023/12 - The Thirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023) Top Reviewer
  • 2023/06 - The 5th Conference on Learning for Dynamics and Control (L4DC 2023) Best Paper Award In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States
  • 2018/07 - 孫正義育英財団 二期生 採用
  • 2017/09 - 日本学生支援機構 海外留学支援制度(大学院学位取得型)博士課程コース採用
  • 2015/09 - 日本学生支援機構 海外留学支援制度(大学院学位取得型)修士課程コース採用
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