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Explicit human-robot communication boosts navigation success by 10 percentage points, transforming how robots interact in crowded environments.
Tactile-reactive policies can boost robotic manipulation success rates by over 30% through innovative data collection and a new Mixture-of-Transformers architecture.
Extracting action signals from 32,041 hours of human video enables CAIP to outperform leading vision encoders in robotic manipulation tasks by over 30%.
Standard LLMs can now perform complex bimanual robot manipulation tasks with impressive success rates, all without any task-specific training.
