VLA / 视觉-语言-动作模型

Being-H0.5: Scaling Human-Centric Robot Learning for Cross-Embodiment Generalization

Being-H0.5：面向跨躯体泛化的以人为本的机器人学习规模化

Hao Luo, Ye Wang, Wanpeng Zhang, Sipeng Zheng, Ziheng Xi, Chaoyi Xu, Haiweng Xu, Haoqi Yuan, Chi Zhang, Yiqing Wang, Yicheng Feng, Zongqing Lu

机构 * BeingBeyond Team（BeingBeyond 团队） 纠错

专题命中 部署与泛化 ：vision-language-action(abstract)；VLA(abstract)；分类 cs.RO

AI总结 Being-H0.5通过以人为本的学习范式和统一动作空间，实现了在不同机器人平台间的跨躯体泛化，结合混合流框架和流形保持门控，达到模拟和现实中的高性能表现。

Comments 44 pages

Genie Centurion: Accelerating Scalable Real-World Robot Training with Human Rewind-and-Refine Guidance

Genie Centurion：通过人类 rewind-and-refine 指导加速可扩展的现实世界机器人训练

Wenhao Wang, Jianheng Song, Chiming Liu, Jiayao Ma, Siyuan Feng, Jingyuan Wang, Yuxin Jiang, Kylin Chen, Sikang Zhan, Yi Wang, Tong Meng, Modi Shi, Xindong He, Guanghui Ren, Yang Yang, Maoqing Yao

专题命中 部署与泛化 ：vision-language-action(abstract)；VLA(abstract)；分类 cs.RO

AI总结 Genie Centurion 通过人类 rewind-and-refine 指导提升现实世界机器人训练效率，实现高任务成功率和低成本数据收集