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RangeNav is presented, a compact (183k parameters) LiDAR range-image encoder pretrained entirely on synthetic data that demonstrates robust navigation through dense crowds, low-light settings, and construction zones where limited-field-of-view depth policies struggle.
A novel egocentric and exocentric video dataset capturing real-world collaboration in cooking scenarios, and establishes benchmarks for Joint Attention Estimation, Socially Conditioned Object Interaction Anticipation, and Collaborative Handover Prediction, enabling research on multimodal perception, proactive assistanc...
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