Learning to Leverage Compliance: A Policy-Admittance Learning Framework for Robotic Insertion

Policy learning and compliant control offer a promising route to reliable autonomous assembly under pose errors and contact uncertainty. However, combining them does not ensure coordination: the policy may continue pushing against contact while the controller yields, producing sustained loading with