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VLN agents can navigate more accurately in zero-shot settings by "looking forward, now, and backward," mimicking human navigational strategies.
VLA-Thinker lets robots actively "look again" at their environment during long tasks, leading to a huge performance boost in complex manipulation.
Forget painstakingly engineering robot behaviors: DreamZero learns directly from video of other robots or even humans, adapting to new tasks and bodies with just minutes of data.
