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| title: README | |
| emoji: π | |
| colorFrom: yellow | |
| colorTo: indigo | |
| sdk: static | |
| pinned: false | |
| license: mit | |
| <h1 align="center">Towards Capability-Aware Traversability Navigation for Unstructured | |
| Environments</h1> | |
| <p align="center"> | |
| <b>Gianluca Capezzuto, Felipe Tommaselli, Matheus P. Angarola, Ricardo V. Godoy, and Marcelo Becker</b><br> | |
| <i>Mobile Robotics Group, University of SΓ£o Paulo, SΓ£o Carlos, SP, Brazil</i> | |
| </p> | |
| <p align="center"> | |
| π <b>Accepted at IROS 2026</b> π | |
| </p> | |
| <p align="center"> | |
| <a href="https://arxiv.org/abs/xxxx.xxxxx"><strong>π Paper</strong></a> | |
| | | |
| <a href="https://cat-iros-2026.github.io"><strong>π Website</strong></a> | |
| | | |
| <a href="https://huggingface.co/datasets/CAT-IROS-2026/data_cat_iros_2026"><strong>π€ Dataset</strong></a> | |
| </p> | |
| <hr> | |
| <p align=justify>This repository serves as the central data hub for the <b>Capability-Aware Traversability (CAT)</b> framework, | |
| specifically organizing the <b>datasets and pre-trained</b> models utilized in our research. It does not contain | |
| the source code implementation; rather, it hosts the dense, trajectory-grounded supervision masks collected | |
| from multiple robot embodiments, alongside the final model weights needed to reproduce our capability-conditioned | |
| traversability predictions.</p> | |
| <hr> |