Cap-X: Capability-Aware Policy for Robotic Manipulation

摘要

We present Cap-X, a capability-aware policy framework for robotic manipulation tasks. Cap-X explicitly models the robot's physical capabilities and constraints, incorporating this awareness into the policy learning process. This results in more robust and reliable manipulation policies that respect the robot's kinematic and dynamic limitations while maximizing task success rates.