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UC Berkeley's AI research lab. Pioneering work in robotics, RL, NLP, and computer vision.
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A flow matching model learns a dynamically feasible trajectory manifold, enabling dexterous manipulation retargeting with orders of magnitude fewer samples than MPC.
A unified generative model for 3D dynamics can predict, inpaint, and control complex SE(3) trajectories across diverse agents and scenes with a single network.