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Synthesizing realistic human mobility in data-scarce regions is now possible thanks to a dual-LLM-agent framework that learns physical constraints via reinforcement learning.
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.
