| Improving the Robustness of Reinforcement Learning Policies With Adaptive Control Y Cheng, P Zhao, F Wang, DJ Block, N Hovakimyan IEEE Robotics and Automation Letters 7 (3), 6574-6581, 2022 | 17 | 2022 |
| Convex synthesis of control barrier functions under input constraints P Zhao, R Ghabcheloo, Y Cheng, H Abdi, N Hovakimyan IEEE Control Systems Letters, 2023 | 9 | 2023 |
| Safe and efficient reinforcement learning using disturbance-observer-based control barrier functions Y Cheng, P Zhao, N Hovakimyan Learning for Dynamics and Control Conference, 104-115, 2023 | 8 | 2023 |
| Guaranteed contraction control in the presence of imperfectly learned dynamics P Zhao, Z Guo, Y Cheng, A Gahlawat, N Hovakimyan arXiv preprint arXiv:2112.08222, 2022 | 1 | 2022 |
| Robustifying reinforcement learning policies with L1 adaptive control Y Cheng, P Zhao, M Gandhi, B Li, E Theodorou, N Hovakimyan ICRA 2021 Workshop on Safe Robot Control with Learned Motion and Environment …, 2021 | 1 | 2021 |
| Safety constrained multi-UAV time coordination: a bi-level control framework in GPS denied environment W Wan, H Kim, Y Cheng, N Hovakimyan, P Voulgaris, L Sha AIAA AVIATION 2021 FORUM, 2463, 2021 | 1 | 2021 |
| Study of dust deposition pattern in the respiratory tract of dust particles less than 10 μm in size H Peng, A Tang, Y Cheng, Y Zhang, L Guo, X Zhang, J Li Powder Technology 444, 120033, 2024 | | 2024 |
| Guaranteed Trajectory Tracking under Learned Dynamics with Contraction Metrics and Disturbance Estimation P Zhao, Z Guo, Y Cheng, A Gahlawat, H Kang, N Hovakimyan Robotics 13 (7), 99, 2024 | | 2024 |
| Guaranteed Nonlinear Tracking in the Presence of DNN-Learned Dynamics With Contraction Metrics and Disturbance Estimation P Zhao, Z Guo, A Gahlawat, H Kang, N Hovakimyan arXiv preprint arXiv:2112.08222, 2021 | | 2021 |
| Robustifying Reinforcement Learning Policies with Adaptive Control Y Cheng, P Zhao, M Gandhi, B Li, E Theodorou, N Hovakimyan arXiv preprint arXiv:2106.02249, 2021 | | 2021 |
| Improving the Robustness of Reinforcement Learning Policies with L1 Adaptive Control–Extended Version Y Cheng, P Zhao, F Wang, DJ Block, N Hovakimyan | | |
| L1-RL: Robustifying Reinforcement Learning Policies with L1 Adaptive Control Y Cheng, P Zhao, M Gandhi, B Li, E Theodorou, N Hovakimyan | | |
| All posts by ronaldchoe N Hovakimyan, A Gahlawat, H Kim, K Ackerman, Y Cheng, G Haberfeld, ... | | |
| Cyber-Physical-Human Systems N Hovakimyan, A Gahlawat, H Kim, P Zhao, K Ackerman, Y Cheng, ... | | |
naira hovakimyanUIUC, Department of Mechanical Science and Engineering在 illinois.edu 的电子邮件经过验证
