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By predicting parameters for classical planners, APPLV offers a way to leverage foundation models for robot navigation while retaining safety guarantees and outperforming end-to-end VLA models.
Robots can now "see" and avoid dangerous thermal radiation in fire environments, enabling safer autonomous navigation.
