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FlowDAgger: Human-in-the-Loop Adaptation of Generative Robot Policies in Latent Space

Published 2 months, 2 weeks ago
Description
Steers frozen robot foundation models including VLAs, diffusion policies, and world models using human corrections via action inversion in latent space without fine-tuning the base policy. Outperforms supervised fine-tuning and latent RL with only 5–20 human interventions.
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