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Robots can navigate more robustly in the real world by learning to predict path clearance from multimodal data and a robot's own embodiment, even when conditions change.
Resource-strapped robots can now achieve near state-of-the-art panoptic segmentation without sacrificing accuracy, thanks to a novel lightweight architecture that slashes computational costs.
