Boyi Zhao

REACH: Explicit Recovery Behavior for Diffusion Policies

Diffusion policies have emerged as a powerful paradigm for robot learning, but their inherent multi-modality can lead to a diverse set of plausible--though not always optimal--actions from a single observation. We posit that for a given task, an optimal action exists within this distribution. Inspir