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R. Rayyes

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#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. · 4 citations