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Pre-training Auto-regressive Robotic Models with 4D Representations
by Dantong Niu*, Yuvan Sharma*, Haoru Xue, Giscard Biamby, Junyi Zhang, Ziteng Ji, Trevor Darrell†, and Roei Herzig†
*Equal contribution, †Equal advising
Berkeley AI Research, UC Berkeley
ICML 2025
Paper • Code • Models • Dataset
The structure for the data is as follows:
.
├── .gitattributes
├── README.md
├── epic_clips.json # contains mapping for episode id --> language instruction (76,014 episodes)
├── epic_tasks_final.zip # contains extracted 3D point data for Epic-Kitchens (76,014 episodes)
└── real_kinova_release_data.zip # contains collected data for real world Kinova Gen3 setup (2,550 episodes)
Citation
If you find our work helpful, please consider citing:
@article{niu2025pre,
title={Pre-training auto-regressive robotic models with 4d representations},
author={Niu, Dantong and Sharma, Yuvan and Xue, Haoru and Biamby, Giscard and Zhang, Junyi and Ji, Ziteng and Darrell, Trevor and Herzig, Roei},
journal={arXiv preprint arXiv:2502.13142},
year={2025}
}
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