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University of Illinois, Urbana-Champaign
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Robots can now achieve precise physical interactions with objects without relying on task-specific rewards, thanks to a novel approach that decouples contact from keypoint tracking.
Humanoids can now perform complex loco-manipulation tasks from egocentric vision and sparse goals, thanks to a unified controller trained without relying on predefined motion references at test time.
Humanoid robots can now manipulate everyday objects in the wild with unprecedented reliability, thanks to a novel system that combines the generalization of large vision models with a highly accurate, simulation-trained end-effector tracking policy.