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Multi-robot navigation policies can now dynamically adjust risk sensitivity by explicitly forecasting occupancy uncertainty across agents, dramatically improving safety in unseen environments.
Current VLA models fail at zero-shot robotic personalization, highlighting a critical gap in embodied AI's ability to adapt to user preferences.