LEARNING
Hy-Embodied-0.5-VLA：从视觉-语言-动作模型到真实世界机器人学习栈
He Zhang, Lingzhu Xiang, Haitao Lin, Zeyu Huang, Minghui Wang, Dingyan Zhong, Yubo Dong, Yihao Wu, Yongming Rao, Dongsheng Zhang, Wanjia He, Ling Chen, Kai Huang, Jiahao Chen, Sichang Su, Xumin Yu, Ziyi Wang, Chengwei Zhu, Xiao Teng, Yuchun Guo
- 发表年份
- 2026
- 访问权限
- 开放获取
摘要
本文介绍了Hy-Embodied-0.5-VLA（HyVLA-0.5），一个覆盖完整机器人学习栈的端到端系统，包括数据收集、模型设计、持续预训练与监督微调、强化学习后训练以及真实世界部署。每个组件在该栈中扮演着独特角色。
关键词
end-to-endrobot learning stackVLAreal-world deploymentRL post-training
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