ReSkill: Selective Self-Improvement for Robot Manipulation
Overview
This research presents ReSkill, a selective self-improvement framework for robot manipulation that identifies capability gaps using object-centric task graphs and iteratively revises stage organization, hand-off conditions, and recovery routes.
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Reported quantity · median revision function change count: 3 other · Basis not reported
“cceeds in 72 of 80 rebuilt-simulation trials and 62 of 80 real-robot trials (77.5%). The median revision changes only three functions, approximately 0.5% of a program, while 39% of task-specific functions in later-added tasks directly reuse existing implementations. These results show how locating local deficiencies, validating candidate changes, and accumulating reusable skills can improve execution of compositional”
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- arXiv Robotics — research abstractsSignalReSkill: Selective Self-Improvement for Robot Manipulation
This research presents ReSkill, a selective self-improvement framework for robot manipulation that identifies capability gaps using object-centric task graphs and iteratively revises stage organization, hand-off conditions, and recovery routes.
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