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eess.SY2024
Safe Feedback Motion Planning in Unknown Environments: An Instantaneous Local Control Barrier Function Approach
Cong Li, Zengjie Zhang, Ahmed Nesrin +3
Mobile robots are desired with resilience to safely interact with prior-unknown environments and finally accomplish given tasks. This paper utilizes instantaneous local sensory dat…
eess.SY2024
Data Informed Residual Reinforcement Learning for High-Dimensional Robotic Tracking Control
Cong Li, Fangzhou Liu, Yongchao Wang +1
The learning inefficiency of reinforcement learning (RL) from scratch hinders its practical application towards continuous robotic tracking control, especially for high-dimensional…