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jialei02/robotwin_merged

LaWAM: Latent World Action Models for Efficient Dynamics-Aware Robot Policies This repository contains the preprocessed dataset used in the paper LaWAM: Latent World Action Models for Efficient Dynamics-Aware Robot Policies. Project Page: https://rlinf.github.io/LaWAM/ Repository: https://github.com/RLinf/LaWAM The dataset is formatted in LeRobot format and is designed for training and evaluating dynamics-aware robot policies. Citation @misc{chen2026lawam… See the full description on the dataset page: https://huggingface.co/datasets/jialei02/robotwin_merged.

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LaWAM: Latent World Action Models for Efficient Dynamics-Aware Robot Policies

This repository contains the preprocessed dataset used in the paper LaWAM: Latent World Action Models for Efficient Dynamics-Aware Robot Policies.

—Project Page: https://rlinf.github.io/LaWAM/
—Repository: https://github.com/RLinf/LaWAM

The dataset is formatted in LeRobot format and is designed for training and evaluating dynamics-aware robot policies.

Citation

bibtex

@misc{chen2026lawam,
  title = {LaWAM: Latent World Action Models for Efficient Dynamics-Aware Robot Policies},
  author = {Chen, Jialei and Wang, Kai and Chen, Kang and Chen, Shuaihang and Gao, Feng and Tang, Wenhao and Li, Zhiyuan and Liu, Weilin and Yao, Zhuyu and Li, Boxun and Xu, Yuanbo and Yu, Chao},
  journal = {arXiv preprint arXiv:2606.15768},
  year = {2026},
  archiveprefix = {arXiv},
  primaryclass = {cs.RO},
}