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作 者:Tianyu Shen Jinlin Sun Shihan Kong Yutong Wang Juanjuan Li Xuan Li Fei-Yue Wang
机构地区:[1]College of Information Science and Technology,Beijing University of Chemical Technology,Beijing 100029,China [2]School of Electrical and Information Engineering,Jiangsu University,Zhenjiang 212013,China [3]State Key Laboratory for Turbulence and Complex Systems,Department of Advanced Manufacturing and Robotics,College of Engineering,Peking University,Beijing 100871,China [4]State Key Laboratory of Multimodal Artificial Intelligence Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China [5]Peng Cheng Laboratory,Shenzhen 518000,China [6]State Key Laboratory for Management and Control of Complex Systems,Chinese Academy of Sciences,Beijing 100190 [7]Faculty of Innovation Engineering,Macao University of Science and Technology,Macao 999078,China [8]IEEE
出 处:《IEEE/CAA Journal of Automatica Sinica》2024年第6期1313-1316,共4页自动化学报(英文版)
基 金:supported by the National Natural Science Foundation of China(62302047,62203250);the Science and Technology Development Fund of Macao SAR(0093/2023/RIA2,0050/2020/A1).
摘 要:THE tremendous impact of large models represented by ChatGPT[1]-[3]makes it necessary to con-sider the practical applications of such models[4].However,for an artificial intelligence(AI)to truly evolve,it needs to possess a physical“body”to transition from the virtual world to the real world and evolve through interaction with the real environments.In this context,“embodied intelligence”has sparked a new wave of research and technology,leading AI beyond the digital realm into a new paradigm that can actively act and perceive in a physical environment through tangible entities such as robots and automated devices[5].
关 键 词:INTELLIGENCE DAO TAO
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程]
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