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职业迁徙
个人简介
His research interests lie at the intersection of control, machine learning, and optimization, with the long-term goal to develop fundamental theories and methods, by deeply integrating the benefits of those domains, for advanced autonomy of robots and human-robot systems. He has been working on the related topics including differentiable control and learning, safe learning and control, inverse optimal control (inverse reinforcement learning), optimal control, and motion planning, with applications in learning from demonstrations, learning with human on-the-loop, and robot learning and control for contact manipulations.
研究兴趣
论文共 27 篇作者统计合作学者相似作者
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IEEE TRANSACTIONS ON ROBOTICS (2024): 1774-1794
CoRR (2023): 2887-2892
ICML 2023pp.41219-41243, (2023)
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IEEE CONTROL SYSTEMS LETTERS (2023): 3367-3372
IEEE Robotics and Automation Lettersno. 10 (2023): 6539-6546
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arxiv(2023)
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arxiv(2023)
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2022 IEEE 61st Conference on Decision and Control (CDC)pp.571-576, (2022)
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