PhD student with Marco Pavone and Clark Barrett at Stanford, currently working at Waymo. Presented RNB encore, a self-supervised bootstrapping framework for discovering embodiment-specific reasoning across manipulation, locomotion, and driving.
no scored calls yet — needs a stated position or a categorical verdict, with a matured window vs SPY
RNB Encore uses variational inference to automatically discover embodiment-specific reasoning traces (move+gripper for manipulation, structural affordances for locomotion, meta-action for driving) that improve success rates and prune distracting perceptual reasoning, generalizing across 1B-30B parameter models.
Milan demonstrates RNB encore, a variational inference framework that discovers embodiment-specific reasoning (move+gripper for manipulation, structural affordances for locomotion, meta-action for driving) and prunes distracting perceptual reasoning, improving success rates and safety metrics.