MANIPULATION
RynnBrain 1.1：迈向更强大和更通用的具身基础模型
Kehan Li, Bohan Hou, Minghao Zhu, Tianyi Zhang, Zesen Cheng, Zhikai Wang, Sicong Leng, Xin Li, Xiao Lin, Biying Yao, Minghua Zeng, Jiangpin Liu, Ronghao Dang, Jiayan Guo, Siteng Huang, Haoyu Zhao, Heng Ping, Yaxi Zhao, Kexiang Wang, Tong Lu
- 发表年份
- 2026
- 访问权限
- 开放获取
摘要
本文介绍了RynnBrain 1.1系列具身基础模型，涵盖2B、9B和122B-A10B参数规模，支持感知、空间推理、定位和规划。该模型通过接触点预测和原生3D接地增强了机器人操作能力，并在多个真实机器人平台上取得了优于现有模型的性能。
关键词
embodied foundation modelrobot manipulation3D groundingmulti-embodimentVLA
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