| task_categories: | |
| - robotics | |
| license: mit | |
| tags: | |
| - robotics | |
| - multimodal | |
| The FuSe dataset contains 26,866 trajectories collected on a WidowX robot at the RAIL lab @ UC Berkeley, USA. It contains visual, tactile, sound and action data collected across several environments, annotated with natural language. | |
| Paper: https://huggingface.co/papers/2501.04693 | |
| Code: https://github.com/oier-mees/FuSe | |
| If you use the dataset please cite: | |
| ```bibtex | |
| @inproceedings{jones25fuse, | |
| title={Beyond Sight: Finetuning Generalist Robot Policies with Heterogeneous Sensors via Language Grounding}, | |
| author={Joshua Jones and Oier Mees and Carmelo Sferrazza and Kyle Stachowicz and Pieter Abbeel and Sergey Levine}, | |
| booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)}, | |
| year={2025}, | |
| address = {Atlanta, USA} | |
| } | |
| ``` |