Wild Visual Navigation: A system for fast traversability learning via pre-trained models and online self-supervision
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Updated
Dec 22, 2024 - Python
Wild Visual Navigation: A system for fast traversability learning via pre-trained models and online self-supervision
[IROS 2024] [ICML 2024 Workshop Differentiable Almost Everything] Physics-informed model to predict robot-terrain interactions from RGB images.
😎 A curated list of papers, tools, and libraries for traversability analysis and terrain classification in robotic navigation
Learning self-supervised traversability with navigation experiences of mobile robots: A risk-aware self-training approach (RA-L, 2024)
Navigation pipelines with Traversability Estimation tested with real Clearpath Husky robot and in Gazebo simulator
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