A composite skill representation with residual reinforcement learning enables modular, reusable adaptation of robotic assembly under contact-rich variations while preserving overall execution structure.
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Learning-Based Strategy for Composite Robot Assembly Skill Adaptation
A composite skill representation with residual reinforcement learning enables modular, reusable adaptation of robotic assembly under contact-rich variations while preserving overall execution structure.