由中国科学院自动化研究所研制的Q系列人形机器人在本次大会上集中亮相。这个最新一代Q5机器人正在向人们展示其精准的柔性线缆插接能力，别看只是 将USB充电线插入充电槽，一个对于人类来说非常简单的动作，但是想让机器人自主精准操作，则难度很大。 2025世界机器人大会是一个向世界展示机器人产业发展前沿技术的大舞台，众多科研机构和企业都将自己的最新技术和产品带到这里向公众展示。 Q系列机器人集中亮相 将推出第六代 中国科学院院士 多模态人工智能系统全国重点实验室主任 乔红：整体来说，Q5机器人的精度更高了。它能够做到0.1毫米的装配精度，而且是软性材料的插 接。因为在很多操作应用的时候，磨抛的精度、装配的精度，可靠性才是关键。 现场，Q系列机器人还展示了挂扳手、采摘苹果、射箭等不同场景下的操作任务。据介绍，Q系列人形机器人是面向国家航天、制造产业等重大需求研制 的，自主突破了高爆发一体化关节、AI赋能设计、机器人大模型、类人柔顺控制等核心技术。目前科研团队已经推出五代Q系列人形机器人，初步实现了面 向工业、农业等不同场景的技术验证。第六代Q系列人形机器人也将很快问世。 中国科学院院士 多模态人工智能系统全国重点实验室 ...

Group 1: Automation Research Institute - The event showcased various robots, including the Q series humanoid robots, highlighting advancements in artificial intelligence and robotics [1][3] - The exhibition featured 18 research achievements in areas such as smart healthcare and robotics, including brain-machine interface technologies and surgical navigation systems [3][4] - Interactive experiences allowed the public to engage with cutting-edge technologies, such as intelligent ultrasound robots and AI art [3][4] Group 2: Aerospace Information Innovation Research Institute - The theme for this year's public science day was "Chasing Dreams in Aerospace, Smartly Starting a New Journey," focusing on the integration of aerospace technology and artificial intelligence [5][7] - The event included a technology exhibition showcasing advanced technologies like the "Extreme Eye" floating airship and remote sensing aircraft models [5][7] - Public engagement activities featured hands-on experiences with various aerospace technologies, including intelligent weather radar and health monitoring devices [7][8] Group 3: Acoustics Research Institute - The theme for the Acoustics Research Institute's public science day was "The Sound of Science Inspires the Future," featuring a variety of interactive and educational activities [8][9] - The event included demonstrations of advanced acoustic devices and experiments, allowing the public to experience the principles of acoustics firsthand [9][11] - The institute organized multiple lectures on popular science topics related to acoustics, along with a sci-fi film screening to engage the audience [9][11]

Group 1 - The 2025 Beijing Science and Technology Week and the "Automation Light" Public Science Day at the Chinese Academy of Sciences showcased innovative achievements in various fields including artificial intelligence, gene therapy, brain-machine interfaces, and hydrogen energy [1][2] - The theme of this year's Science and Technology Week is "Determined to Innovate and Build a Strong Science and Technology Nation," emphasizing the collaboration between the Chinese Academy of Sciences and Beijing to promote high-end scientific resources [2][3] - The "Automation Light" Public Science Day has successfully held 21 sessions, inspiring many young people to explore science [2] Group 2 - The event featured 18 research achievements in artificial intelligence applications across various sectors, including smart healthcare and robotics [3][5] - The Q series humanoid robots and Casia Hand dexterous hand were highlighted, showcasing their capabilities in hazardous environments and service industries [3][4] - The micro-invasive brain-machine interface technology was presented, demonstrating its potential in medical rehabilitation and neural control, with ongoing animal experiments [4][5] Group 3 - Interactive exhibitions allowed the public to experience advanced technologies, such as a desktop carotid ultrasound robot system that aids in standardized screening [5] - Attendees engaged with various interactive projects, including AI art and thought rehabilitation technologies, enhancing public understanding of cutting-edge innovations [5]

Core Viewpoint - The government work report emphasizes the establishment of a growth mechanism for future industries, highlighting "embodied intelligence" for the first time, signaling positive policy support for advancing AI technology and industry development in China [1][3]. Group 1: Industry Development - The concept of "embodied intelligence" extends AI capabilities beyond digital realms into real-world applications, enhancing robotics, autonomous driving, and human-machine interaction [1][3]. - The "Tiangong" humanoid robot, developed by the national-local co-built innovation center, showcases advanced capabilities such as climbing 134 steps and running at speeds of up to 12 km/h, indicating significant progress in embodied intelligence [3]. - The Chinese Academy of Sciences has developed the Q series humanoid robots, establishing a "general humanoid robot factory" that integrates intelligent algorithms and neuroscience, creating a technological barrier [3]. Group 2: Application Scenarios - Embodied intelligence is expected to play a crucial role in various sectors, including healthcare, industrial safety, education, and smart living, with significant market potential [3][4]. - Family services are identified as a key application area for embodied intelligence robots, necessitating the development of large models tailored for home service scenarios [4]. - The Ministry of Industry and Information Technology plans to implement innovation tasks by 2025, focusing on future industries, including embodied intelligence [4]. Group 3: Technological Foundations - China possesses a comprehensive robot supply chain, with rapid advancements in domestic capabilities for motors, sensors, and AI chips, providing a solid foundation for the development of embodied intelligence [5]. - The rise of large language models like DeepSeek reflects China's technological strength in AI algorithms, computing power, and data [5]. Group 4: Challenges and Recommendations - Many embodied intelligence products are still in the demonstration and concept validation stages, indicating a gap before practical applications can be realized [6]. - A common issue in advancing embodied intelligence is the lack of universal platforms; recommendations include encouraging the establishment of such platforms to foster innovation and reduce redundancy [6]. - Collaboration between universities, research institutions, and enterprises is essential to overcome challenges in key technology areas, enhancing the adaptability and stability of robots in complex environments [6].