FlowCorrect：生成式流策略的高效交互式纠错
原标题：FlowCorrect: Efficient Interactive Correction of Generative Flow Policies for Robotic Manipulation
技术动态AI 75
来源：arXiv cs.RO发布时间待核实
arXiv:2602.22056v3 Announce Type: replace Abstract: Generative manipulation policies can fail catastrophically under deployment-time distribution shift, yet many failures are near-misses: the robot reaches almost-correct poses and would succeed with a small corrective motion. We propose FlowCorrect, a modular interactive imitation learning approach that enables deployment-time adaptation of flow-matching manipulation policies from sparse, relative human corrections without retraining.