| license: mit | |
| tags: | |
| - robotics | |
| - graph-neural-networks | |
| - dynamics-model | |
| # AdaptiGraph checkpoints | |
| Dynamics model checkpoints (epoch 100) for rope, granular and cloth, from [AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation](https://robopil.github.io/adaptigraph/) (RSS 2024). | |
| Code: [github.com/Boey-li/AdaptiGraph](https://github.com/Boey-li/AdaptiGraph) · Data: [boeyyyy/AdaptiGraph-data](https://huggingface.co/datasets/boeyyyy/AdaptiGraph-data) | |
| From the repo root: | |
| ``` | |
| hf download boeyyyy/AdaptiGraph --include "log/*" --local-dir . | |
| ``` | |
| This puts the files at `log/{rope,granular,cloth}/checkpoints/model_100.pth`, where `src/dynamics/rollout/rollout.py` expects them. | |
| ## Citation | |
| ```bibtex | |
| @inproceedings{zhang2024adaptigraph, | |
| title={AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation}, | |
| author={Zhang, Kaifeng and Li, Baoyu and Hauser, Kris and Li, Yunzhu}, | |
| booktitle={Proceedings of Robotics: Science and Systems (RSS)}, | |
| year={2024} | |
| } | |
| ``` | |