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OpenVLA: An Open-Source Vision-Language-Action Model

An open vision-language-action model and adaptation framework make generalist robot policy research more accessible.

Moo Jin Kim et al.
2024-06 · Academic · Research paper
Source checked: 2026-10-24Affiliations not yet verified · Academic ◌ Affiliations not yet verified
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arxiv.org ↗

Why read this

Useful for studying robot data, action tokenization and practical fine-tuning.

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Citation

@misc{kim2024openvla,
  title = {OpenVLA: An Open-Source Vision-Language-Action Model},
  author = {Moo Jin Kim and Karl Pertsch and Siddharth Karamcheti and Ted Xiao and Ashwin Balakrishna and Suraj Nair and Rafael Rafailov and Ethan Foster and Grace Lam and Pannag Sanketi and Quan Vuong and Thomas Kollar and Benjamin Burchfiel and Russ Tedrake and Dorsa Sadigh and Sergey Levine and Percy Liang and Chelsea Finn},
  year = {2024},
  eprint = {2406.09246},
  archivePrefix = {arXiv},
  primaryClass = {cs.RO},
  url = {https://arxiv.org/abs/2406.09246}
}

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