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Feudal Networks for Visual Navigation
Feb. 21, 2024, 5:42 a.m. | Faith Johnson, Bryan Bo Cao, Kristin Dana, Shubham Jain, Ashwin Ashok
cs.LG updates on arXiv.org arxiv.org
Abstract: Visual navigation follows the intuition that humans can navigate without detailed maps. A common approach is interactive exploration while building a topological graph with images at nodes that can be used for planning. Recent variations learn from passive videos and can navigate using complex social and semantic cues. However, a significant number of training videos are needed, large graphs are utilized, and scenes are not unseen since odometry is utilized. We introduce a new approach …
abstract arxiv building cs.cv cs.lg cs.ro exploration graph humans images interactive intuition learn maps navigation networks nodes planning semantic social type videos visual visual navigation
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