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VLN agents can now navigate more effectively by reasoning about their own state and task progress, closing the gap between end-to-end VLMs and explicit scene mapping.
Legged robots can now recover from sensor noise and crazy user commands with 10x greater reliability, thanks to a new method that respects the robot's competence boundaries.
