RoboBrain 2.5: Depth in Sight, Time in Mind
Huajie Tan, Enshen Zhou, Zhiyu Li, Yijie Xu, Yuheng Ji, Xiansheng Chen, Cheng Chi, Pengwei Wang, Huizhu Jia, Yulong Ao, Mingyu Cao, Sixiang Chen, Zhe Li, Mengzhen Liu, Zixiao Wang, Shanyu Rong, Yaoxu Lyu, Zhongxia Zhao, Peterson Co, Yibo Li
- 发表年份
- 2026
- 访问权限
- 开放获取
摘要
We introduce RoboBrain 2.5, a next-generation embodied AI foundation model that advances general perception, spatial reasoning, and temporal modeling through extensive training on high-quality spatiotemporal supervision. Building upon its predecessor, RoboBrain 2.5 introduces two major capability upgrades. Specifically, it unlocks Precise 3D Spatial Reasoning by shifting from 2D pixel-relative grounding to depth-aware coordinate prediction and absolute metric constraint comprehension, generating complete 3D manipulation traces as ordered keypoint sequences under physical constraints. Complementing this spatial precision, the model establishes Dense Temporal Value Estimation that provides dense, step-aware progress prediction and execution state understanding across varying viewpoints, producing stable feedback signals for downstream learning. Together, these upgrades extend the framework toward more physically grounded and execution-aware embodied intelligence for complex, fine-grained manipulation. The code and checkpoints are available at project website: https://superrobobrain.github.io
关键词
相关论文
面向大型复杂构件的移动机器人辅助磨削技术综述
Yusen Li, Ziwei Wang, Xiangye Zhu 等 12 位作者
Robotics and Computer-Integrated Manufacturing · 2026
基于物理信息与机器学习的五轴铣削TC4钛合金刀具磨损融合预测模型
Shaoqing Qin, Lida Zhu, Yanpeng Hao 等 10 位作者
Robotics and Computer-Integrated Manufacturing · 2026
通过新型压电主动阻尼刀柄提升机器人铣削质量
Bo Li, Yuanbo Zhao, Huijie Xiao 等 6 位作者
Robotics and Computer-Integrated Manufacturing · 2026
一种利用磁致非线性宽带多向被动减振器抑制机器人铣削低频颤振的新方法
Hao Li, Yuhui Yu, Rui Fu 等 6 位作者
Robotics and Computer-Integrated Manufacturing · 2026