具身智能测评实验室联合体与职业技能图谱正式发布

Core Insights - The seminar focused on the theme of "data-driven and ecological integration," highlighting the rapid development phase of embodied intelligence, which merges artificial intelligence and robotics technology [1][8] - The establishment of the Embodied Intelligence Testing Laboratory Consortium aims to address issues such as distorted testing indicators and scene misalignment, providing a systematic testing capability for the industry [3][8] - The release of the Embodied Intelligence Talent Map 1.0 outlines the unique skill requirements for talent in this sector, differentiating it from traditional AI and robotics roles [5][8] Group 1: Seminar Highlights - The seminar was guided by the Beijing Municipal Bureau of Economy and Information Technology and featured participation from various industry innovation centers and core enterprises [1] - Key discussions revolved around four core areas: data, testing, application, and education-industry collaboration, aimed at facilitating the last mile of technology implementation [1][8] - Experts from various fields shared insights on the challenges and advancements in embodied intelligence, emphasizing the need for collaborative innovation [7][8] Group 2: Testing Laboratory Consortium - The consortium was initiated by the Beijing Humanoid Robot Innovation Center and includes participation from several authoritative research and testing institutions, as well as leading companies in the field [3] - Future plans include the establishment of testing bases, development of testing standards, and creation of technical research groups to enhance the testing and application of embodied intelligence [3][8] - The consortium aims to create a closed loop of "testing - standards - application," accelerating technological evolution and reducing compliance costs in the industry [3][8] Group 3: Talent Map 1.0 - The talent map covers six key areas: strategy and management, research design and algorithms, engineering development and implementation, testing production and supply chain, commercialization services, and functional support platforms [5][6] - It identifies specific skill requirements such as multimodal perception integration and algorithm optimization in real-world scenarios, addressing the talent gap in the rapidly growing sector [5][8] - The map aims to provide clear job definitions and competency standards, promoting standardized vocational skill certification and talent evaluation systems [5][8]