细扒！入选全球前2%顶尖科学家榜单的6位中国具身智能大佬及背后技术布局！

Core Insights - The global competition in the field of embodied intelligence is increasingly focused on core talent reserves and innovation capabilities, with a recent Stanford University and Elsevier report highlighting China's high-level research strength in this area [1] Group 1: Key Scientists and Their Contributions - Six scientists from five Chinese companies, including Kuawei Intelligence, Zhiyuan, Zhiyuan Robotics, Xinghai Map, and Galaxy General, were listed among the top 2% of scientists globally, reflecting China's progress in frontier research and industry-education integration in embodied intelligence [2] - Professor Jia Kui, founder of Kuawei Intelligence, is a leading expert in artificial intelligence and embodied intelligence, with over 100 top-tier papers published and numerous awards, including the CVPR 2019 Best Paper Candidate [4][5] - Professor Shi Baixin, director of the Peking University-Zhiyuan Embodied Intelligence Joint Laboratory, has published over 200 papers and received multiple awards, focusing on 3D reconstruction and SLAM technology [9][11] - Professor Dong Hao, director of the Peking University-Zhiyuan Robotics Joint Laboratory, has published over 70 papers and is recognized for his work in object manipulation and task decision-making [15][18] Group 2: Company Profiles and Achievements - Kuawei Intelligence has developed a comprehensive capability from core technology research to large-scale commercial application, with products applied in over 50 industries and achieving a task success rate of over 99.9% [7] - Zhiyuan, founded in 2023, is a pioneer in end-to-end VLA technology and has developed the world's first global full-body embodied large model, GOVLA, showcasing advanced capabilities in spatial intelligence and complex task reasoning [28] - Galaxy General, established in 2023, focuses on multi-modal large model robotics and has signed contracts with 100 smart pharmacies, leading the global iteration of embodied large model technology [32]