MANIPULATION
Qwen-RobotManip技术报告：对齐解锁机器人操作基础模型的规模
Haoqi Yuan, Zhixuan Liang, Anzhe Chen, Ye Wang, Haoyang Li, Pei Lin, Yiyang Huang, Zixing Lei, Tong Zhang, Jiazhao Zhang, Jie Zhang, Jingyang Fan, Gengze Zhou, Qihang Peng, Chenxu Lv, Xiaoyue Chen, An Yang, Fei Huang, Junyang Lin, Dayiheng Liu
- 发表年份
- 2026
- 访问权限
- 开放获取
摘要
本报告探讨了将语言和多模态基础模型的规模化训练方法应用于机器人操作的可行性，提出了Qwen-RobotManip模型。该模型通过统一的表示、运动和行为的对齐框架，整合异构数据并实现大规模多源训练，从而显著提升了操作泛化能力。
关键词
foundation modelrobotic manipulationalignmentscalingvision-language-action
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