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Shanghai AI Laboratory ∗Equal contribution
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Human-in-the-loop learning can now boost dexterous manipulation VLA models by 25%, thanks to a new framework that smartly samples corrective actions and enables real-time intervention.
Forget training monolithic policies: RoboRouter intelligently routes robotic manipulation tasks to the best off-the-shelf policy, boosting success rates by 13% in the real world.
