In-Hand Manipulation with Enforced Grasp Stability for Contact-Rich Tasks
Published in IEEE ICRA 2025 Workshop on Contact-Rich Manipulation (CRM), Atlanta, GA, 2025
Proposed reinforcement learning methods that integrate force-torque sensing and force-closure rewards to enhance in-hand grasp stability during dexterous manipulation.
Recommended citation: Y. Chen*, S. Lu*, H. Zhang, and K. Lynch. (2025). "In-Hand Manipulation with Enforced Grasp Stability for Contact-Rich Tasks." IEEE ICRA 2025 Workshop on Contact-Rich Manipulation (CRM), Atlanta, GA. [Online]. Available: https://openreview.net/forum?id=YK2YeuL2rU
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