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RangeNav: Task-Aligned LiDAR Range-Image Pretraining for Robot Navigation

Samuel Foo Enze et al.
arXiv CS · Papers
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deep-learningmachine-learningneural-networks
Autonomous mobile robots operating in dense crowds and cluttered sites require $360^\circ$ perception to react to surrounding hazards. While panoramic LiDAR offers full-surround coverage, learning representations within reinforcement learning (RL) is sample-inefficient under sparse rewards, and exis
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