AI RESEARCH
Referring-Aware Visuomotor Policy Learning for Closed-Loop Manipulation
arXiv CS.CV
•
ArXi:2604.05544v1 Announce Type: cross This paper addresses a fundamental problem of visuomotor policy learning for robotic manipulation: how to enhance robustness in out-of-distribution execution errors or dynamically re-routing trajectories, where the model relies solely on the original expert nstrations for