中科院院士冷劲松：人形机器人的“身体”革命

Core Viewpoint - The article discusses the dual exploration of embodied intelligence in China, focusing on advancements in AI large models by companies like UBTECH and Zhihui Square, and the foundational work on intelligent materials by academician Leng Jinsong to reconstruct the "body" of robots [2][3][18]. Group 1: AI Large Models and Commercial Applications - UBTECH announced its large multimodal model, Thinker, which achieved four global firsts in international robot benchmark tests [2]. - Zhihui Square plans to deploy over 1,000 embodied intelligent robots powered by its VLA model in the semiconductor display production base of Huike over the next three years [2][14]. - The VLA model allows robots to learn tasks autonomously through end-to-end data-driven approaches, enhancing their adaptability in existing factory environments [14][15]. Group 2: Intelligent Materials and Robotic "Body" - Leng Jinsong emphasizes the importance of the "execution layer" in embodied intelligence, which is often overlooked in current discussions [2][10]. - His research focuses on intelligent materials that can actively change shape and function, aiming to replace traditional motors in robotics [5][10]. - A notable application of these materials is the flexible solar sail deployed on a commercial satellite, marking the first use of such materials as the main power source in space [7][8]. Group 3: Future Applications and Innovations - Intelligent materials have potential applications in various fields, including aerospace, industrial manufacturing, and biomedical sectors [9][10]. - Examples include flexible hydrogen storage bottles for electric vehicles and biodegradable stents for cardiovascular applications [9][10]. - Leng envisions a future where intelligent materials can not only change but also possess life-like characteristics, integrating AI and self-repair capabilities [11]. Group 4: Industry Challenges and Competitive Landscape - The competition in the industry is not only about AI algorithms but also about enhancing the sensory capabilities of robots through advanced tactile sensors [15][16]. - Despite leading in foundational research on intelligent materials, China faces the risk of being outpaced in product commercialization by companies from Japan and Germany [16]. - The article highlights the need for both AI-driven companies and foundational research to effectively translate their technological advantages into market-ready products [18].