Feed It a Million Hours of Data—Will Robots Learn Everything? Zhangjiang Summit Breaks Down the 'Embodied Data War'

On November 5, the 'Triple T' Zhangjiang Summit technical salon, co-hosted by an ecosystem company of Zhangjiang AI Innovation Town and Synced, was held under the theme 'The Next Data War in Embodied Intelligence,' featuring a two-person technical debate, three Open Mic sessions, and one industry panel. Huang Yongtao of Ant Lingbo Technology argued that at this stage priority should be given to accumulating real-robot data and incorporating touch as early as possible, while Liu Miao of Tsinghua University held that data selection depends on application positioning and the training stage. Ma Daolin of Qianjue Robotics demonstrated the performance of a VTLA model integrating vision, touch, language, and action in real-robot tasks such as automatic shoelace threading and carton forming.