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Found 2 papers, 1 papers with code
VANP: Learning Where to See for Navigation with Self-Supervised Vision-Action Pre-Training
However, most robotic visual navigation methods rely on deep learning models pre-trained on vision tasks, which prioritize salient objects -- not necessarily relevant to navigation and potentially misleading.
A Study on Learning Social Robot Navigation with Multimodal Perception
Autonomous mobile robots need to perceive the environments with their onboard sensors (e. g., LiDARs and RGB cameras) and then make appropriate navigation decisions.
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