
FlowDAgger: Human-in-the-Loop Adaptation of Generative Robot Policies in Latent Space
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.
The skinny
The skinny isn't ready yet — notes appear once the transcript is processed.