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LAFP achieves up to 15% higher success rates in imitation learning by preserving the multimodal structure of latent actions, challenging the limitations of traditional behavior cloning.
OneVLA unifies navigation and manipulation tasks into a single framework, enabling robots to seamlessly interpret commands and interact with their environments like never before.
Robots can now navigate complex outdoor environments using only high-level human instructions and readily available GPS/map data, bypassing the need for expensive HD maps or limited short-horizon policies.
