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Sharon Lee
@sharonal_lee
Cofounder @Moonlake, building world models; prev. Stanford CS PhD and Knight-Hennessy Scholar
529 Following    3.7K Followers
Been seeing a lot of Astra for real2sim, but what you need for robotics: physics and affordance. Our SOTA recipe specifically solves for: • Affordance: model object details that convey functionality. • Physics: calibrate simulation dynamics against real-world observations. Our agent has the action space of a “full-stack simulation engineer” and jointly considers geometry, materials, colliders, articulation, and physics. It automatically calibrates physics against real trajectories and matches task-specific dynamics. Simulation environments is useful only if it can provide meaningful policy level signals. Methods, comparisons, and results below.
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Honored to be on the AI-powered gaming panel at TechCrunch Disrupt with @chrmanning.
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