A composite skill representation with residual reinforcement learning enables modular, reusable adaptation of robotic assembly under contact-rich variations while preserving overall execution structure.
arXiv preprint arXiv:2509.13949 , year=
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A structured literature survey of safety mechanisms in long-horizon robotic manipulation organized by intervention timing and strength of supporting evidence.
citing papers explorer
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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.
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Safe Embodied AI for Long-horizon Tasks: A Cross-layer Analysis of Robotic Manipulation
A structured literature survey of safety mechanisms in long-horizon robotic manipulation organized by intervention timing and strength of supporting evidence.