Embodied AI 101 · Monday · 29 min
BridgeVLA++: Keep the Geometry, Give the Robot a Memory
0:00-29:54
transcript
show notes
Renders point clouds as three orthographic 2D views fed into a pretrained PaliGemma VLM, predicting heatmaps to recover 6-DoF actions with temporal/spatial memory modules. Achieves 95.4% success on 13 real Franka tasks with only 3 demos per task, outperforming π0, RVT-2, and 3D Diffuser Actor, with fully open weights and code.