Junxiu Liu

Failure Detection With Zero-Shot Error Correction in Robotic Manipulation

Diffusion Policy (DP) is effective for imitation learning in robotic manipulation, yet likelihood-based replanning methods lack self-correction and often fail once execution deviates. Vision-Language Models (VLMs) offer strong spatial reasoning for failure handling but incur prohibitive latency for