metadata
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 (RSS 2024). Code: github.com/Boey-li/AdaptiGraph · Data: 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
@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}
}