#machine learning
Feb 2026
FlowCorrect: Efficient Interactive Correction of Generative Flow Policies for Robotic Manipulation
The results clearly demonstrate that FlowCorrect learns from very few demonstrations and enables fast, sample-efficient, incremental, human-in-the-loop corrections of generative visuomotor policies at deployment time in real-world robotics.
Edgar Welte, Yitian Shi, R. Wolf et al.
· arXiv.org · 4 citations