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Columbia University
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Automating real-to-sim conversion with vision-language agents could revolutionize how we simulate robotic interactions, making it faster and cheaper than ever before.
BoxTwin enables robots to accurately predict and adapt to the complex dynamics of elastoplastic articulated objects, revolutionizing manipulation in unstructured settings.
PGRD achieves superior accuracy in deformable object simulation by seamlessly blending physics-based principles with advanced neural corrections.