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By explicitly reasoning in 3D, VolumeDP leaps ahead of 2D-based imitation learning methods, achieving a remarkable 14.8% improvement on the LIBERO benchmark and robust real-world generalization.
Ditch fixed compute budgets: this new flow-matching method for robotic control adaptively allocates computation, speeding up simple tasks and focusing on complex ones.