[IROS 2024] [ICML 2024 Workshop Differentiable Almost Everything] Physics-informed model to predict robot-terrain interactions from RGB images.
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Updated
Dec 20, 2024 - Jupyter Notebook
[IROS 2024] [ICML 2024 Workshop Differentiable Almost Everything] Physics-informed model to predict robot-terrain interactions from RGB images.
Semantic Segmentation of Images and Point Clouds for Traversability Estimation
Multi-Task Learning for Scalable and Dense Multi-Layer Bayesian Map Inference
The dataset for the paper 'Learning self-supervised traversability with navigation experiences of mobile robots: A risk-aware self-training approach'
Learning self-supervised traversability with navigation experiences of mobile robots: A risk-aware self-training approach (RA-L, 2024)
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