5 citations · 7 across the 4 of their papers we have counts for
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cs.RO2023
Zero-shot Transferable and Persistently Feasible Safe Control for High Dimensional Systems by Consistent Abstraction
Tianhao Wei, Shucheng Kang, Ruixuan Liu +1
Safety is critical in robotic tasks. Energy function based methods have been introduced to address the problem. To ensure safety in the presence of control limits, we need to desig…
cs.RO2022★ 1 cited
Persistently Feasible Robust Safe Control by Safety Index Synthesis and Convex Semi-Infinite Programming
Tianhao Wei, Shucheng Kang, Weiye Zhao +1
Model mismatches prevail in real-world applications. Ensuring safety for systems with uncertain dynamic models is critical. However, existing robust safe controllers may not be rea…
cs.RO2022★ 5 cited
A Contact-Safe Reinforcement Learning Framework for Contact-Rich Robot Manipulation
Xiang Zhu, Shucheng Kang, Jianyu Chen
Reinforcement learning shows great potential to solve complex contact-rich robot manipulation tasks. However, the safety of using RL in the real world is a crucial problem, since u…