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NavWM redefines navigation by combining perception, generation, and control into a single framework, leading to unprecedented improvements in planning and foresight.
SurveilNav achieves state-of-the-art navigation success rates by seamlessly integrating robot perception with multi-view surveillance, transforming how robots can navigate complex environments.
Action verification can now be reliably performed in VLA models, reducing the risk of grasp failures and task errors in real-world robotic applications.
