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arXiv · 2606.03392

OpenEAI-Platform: An Open-source Embodied Artificial Intelligence Hardware-Software Unified Platform

Jinyuan Zhang·Luoyi Fan·Leiyu Wang·Yeqiang Wang·Yicheng Zhu·Cewu Lu·Nanyang Ye
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Abstract

Embodied AI in the real world requires both accurate hardware and robust vision-language-action (VLA) policies. We present OpenEAI-Platform, a fully open-source platform that integrates a low-cost 6+1 degree-of-freedom (dof) robotic arm (OpenEAI-Arm) and a reproducible VLA model (OpenEAI-VLA). OpenEAI-Arm provides open-source mechanical designs for low manufacturing cost and compliant control methods for higher accuracy. OpenEAI-VLA builds on Qwen3-VL-4B and uses a Diffusion Transformer action head, and is trained in two stages with only open-source robot and multimodal datasets. Across four real-world manipulation tasks, OpenEAI-Arm outperforms two commercial 6+1-dof arms under the same policy, and OpenEAI-VLA achieves success rates comparable to the large-scale pretrained pi0 baseline with only limited pretraining data. We will release the full hardware designs, drivers, models, and training/data pipelines to support reproducible research and scalable data collection. Our codes, layouts, and models will be released after the paper is accepted.

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Jinyuan Zhang, Luoyi Fan, Leiyu Wang, Yeqiang Wang, Yicheng Zhu, Cewu Lu, Nanyang Ye. 2026-06-02. OpenEAI-Platform: An Open-source Embodied Artificial Intelligence Hardware-Software Unified Platform. https://arxiv.org/abs/2606.03392

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