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HUMA achieves a 20% increase in task success for social navigation by seamlessly integrating RL and VLMs, redefining how robots interact in human environments.
Robots can now understand human intentions with near-human accuracy thanks to a new video-language model that reasons about goals like a human.
Robots can now dynamically adjust their movements for legibility versus efficiency on the fly, without retraining, by using a lightweight module that detects environmental ambiguity and modulates a diffusion policy.