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@@ -106,3 +106,13 @@ The original benchmark contributions in RoboProcessBench, including newly author
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  - AIST-Bimanual
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  The original datasets, including their videos, robot trajectories, sensor measurements, and other third-party materials, remain subject to their respective licenses and terms of use. The CC BY 4.0 license does not replace, override, or sublicense any upstream dataset license. Users who obtain or reconstruct visual observations from the original datasets must comply with the applicable upstream licenses and attribution requirements. See `metadata/asset_licenses.csv` for source-specific licensing information.
 
 
 
 
 
 
 
 
 
 
 
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  - AIST-Bimanual
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  The original datasets, including their videos, robot trajectories, sensor measurements, and other third-party materials, remain subject to their respective licenses and terms of use. The CC BY 4.0 license does not replace, override, or sublicense any upstream dataset license. Users who obtain or reconstruct visual observations from the original datasets must comply with the applicable upstream licenses and attribution requirements. See `metadata/asset_licenses.csv` for source-specific licensing information.
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+ ## Citation
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+ If you find our work inspiring or helpful, please use the following format for citation:
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+ ```bash
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+ Dayu Xia, Yue Shi, Yao Mu, Huiting Ji, Chaofan Ma, Yingjie Zhou, Jiezhang Cao, Hua Chen, Yang Liu, and Guangtao Zhai. Robo2Process: Benchmarking and Learning Process-Aware Understanding in Vision-Language Robotic Manipulation. arXiv preprint arXiv:2606.13040, 2026.
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+ ```
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