Wild Visual Navigation: A system for fast traversability learning via pre-trained models and online self-supervision
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Updated
Apr 16, 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
Navigation pipelines with Traversability Estimation tested with real Clearpath Husky robot and in Gazebo simulator
Learning self-supervised traversability with navigation experiences of mobile robots: A risk-aware self-training approach (RA-L 2024)
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