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Shucheng Kang

3 accepted papers

2025

On the Surprising Robustness of Sequential Convex Optimization for Contact-Implicit Motion Planning

RSS 2025poster

Contact-implicit motion planning—embedding contact sequencing as implicit complementarity constraints—holds the promise of leveraging continuous optimization to discover new contact patterns online. Nevertheless, the resulting optimization, being an instance of Mathematical Programming with Compleme…

Cited by 0PDFScholar
2022

A Contact-Safe Reinforcement Learning Framework for Contact-Rich Robot Manipulation

IROS 2022poster

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 unexpected dangerous collisions might happen when the RL policy is imperfect during training or in unseen scenarios. In t…

Cited by 7SourceScholar