Robotics

dino_large_vae LaWAM Release

This directory is the minimal release package needed by LaWAM training.

This model is part of the work presented in the paper LaWAM: Latent World Action Models for Efficient Dynamics-Aware Robot Policies.

Kept files:

  • dino_large_vae.yaml: LAM model configuration consumed by lam_yaml_path.
  • checkpoints/pytorch_model.pt: LAM release checkpoint consumed by lam_ckpt_path. It keeps only the state_dict needed by LaWAM training and inference.

Example LaWAM config:

framework:
  action_model:
    lam_ckpt_path: "latent_action_model/logs/dino_large_vae/lam_release/checkpoints/pytorch_model.pt"
    lam_yaml_path: "latent_action_model/logs/dino_large_vae/lam_release/dino_large_vae.yaml"

Citation

@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},
}
Downloads last month

-

Downloads are not tracked for this model. How to track
Video Preview
loading

Collection including jialei02/lawam_lam

Paper for jialei02/lawam_lam