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Haruki Nishimura
Haruki Nishimura
Machine Learning Research Scientist, Toyota Research Institute
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Risk-sensitive sequential action control with multi-modal human trajectory forecasting for safe crowd-robot interaction
H Nishimura, B Ivanovic, A Gaidon, M Pavone, M Schwager
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
412020
RAT iLQR: A Risk Auto-Tuning Controller to Optimally Account for Stochastic Model Mismatch
H Nishimura, N Mehr, A Gaidon, M Schwager
IEEE Robotics and Automation Letters 6 (2), 763-770, 2021
142021
Active motion-based communication for robots with monocular vision
H Nishimura, M Schwager
2018 IEEE International Conference on Robotics and Automation (ICRA), 2948-2955, 2018
142018
SACBP: Belief Space Planning for Continuous-Time Dynamical Systems via Stochastic Sequential Action Control
H Nishimura, M Schwager
International Journal of Robotics Research 40 (10-11), 1167-1195, 2021
122021
RAP: Risk-Aware Prediction for Robust Planning
H Nishimura, J Mercat, B Wulfe, RT McAllister, A Gaidon
Conference on Robot Learning, 381-392, 2023
92023
In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States
F Castañeda, H Nishimura, RT McAllister, K Sreenath, A Gaidon
Learning for Dynamics and Control Conference, 286-299, 2023
82023
Online Trajectory Planning Algorithms for Robotic Systems under Uncertainty in Interactive Environments
H Nishimura
Stanford University, 2021
12021
Residual Q-Learning: Offline and Online Policy Customization without Value
C Li, C Tang, H Nishimura, J Mercat, M Tomizuka, W Zhan
Advances in Neural Information Processing Systems 36, 2024
2024
Systems and methods for risk-sensitive sequential action control for robotic devices
H Nishimura, B Ivanovic, AD Gaidon, M Pavone, M Schwager
US Patent 11,807,267, 2023
2023
Full-Distribution Generalization Bounds for Imitation Learning Policies
JA Vincent, H Nishimura, M Itkina, M Schwager
First Workshop on Out-of-Distribution Generalization in Robotics at CoRL 2023, 2023
2023
Systems and methods for controlling a robot
H Nishimura, NZ Mehr, AD Gaidon, M Schwager
US Patent 11,662,731, 2023
2023
SACBP: Belief Space Planning for Continuous-Time Dynamical Systems via Stochastic Sequential Action Control
H Nishimura, M Schwager
The 13th International Workshop on the Algorithmic Foundations of Robotics …, 2018
2018
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