Nishimura Haruki

Affiliation and department：
Job title： Senior Research Scientist
Papers (11)：

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)：

Haruki Nishimura. Robotics Research, Education, and Industry-Academia Collaboration in Silicon Valley. Journal of the Robotics Society of Japan. 2022. 40. 2. 117-120

Patents (2)：

Systems and methods for risk-sensitive sequential action control for robotic devices
Systems and methods for controlling a robot

Education (3)：

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 The University of Tokyo The Faculty of Engineering Department of Aeronautics and Astroronautics

Work history (2)：

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

Awards (5)：

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 - Masason Foundation Fellowship (Gen. 2)
2017/09 - JASSO Student Exchange Support Program (Ph.D.)
2015/09 - JASSO Student Exchange Support Program (Masters)

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