11月14日，第二十七届中国国际高新技术成果交易会（以下简称"高交会"）在深圳国际会展中心开幕。 在这场全球瞩目的科技盛宴中，龙华区以"智聚龙华、数创未来"主题亮相，30家代表性企业与机构组团 参展，涵盖人工智能、低空经济、医疗健康等多个领域。 走进高交会龙华展区，科技创新的脉动扑面而来。从能走能跳的通用人形机器人，到集群悬挂的智能无 人机，从构建龙华区数据孪生底座，到实时捕捉动作的居家康复系统，甚至连咖啡机都装上了"鸿蒙系 统"……龙华展区的亮相，以代表持续涌现的技术与产品的"新"，体现产业链间的连接与生态力 的"融"，指向龙华产业支撑力与城市承载力的"实"，充分展示了龙华产业的"硬科技力量"、城市治理 的"新底座能力"，勾勒出一幅幅未来生活的生动图景。 随着深圳加快打造具有全球重要影响力的产业科技创新中心，地处深圳地理几何中心和粤港澳大湾区城 市发展中轴的龙华，正以高标准打造数字龙华，高水平建设中轴新城，在"数字时代"跑得更快、冲得更 稳。站在深圳创新版图之中，龙华将以"数字"为墨，以"智造"为笔，"数字＋智造"双线驱动，为深圳这 座科技之城提供源源不断的强大发展动能。 打造超密度科技场景 产业创新动能澎 ...

Core Insights - The 27th High-Tech Fair showcased advanced technologies and innovations from Longhua District, including humanoid robots, drones, and health rehabilitation systems, emphasizing the district's commitment to digital and intelligent manufacturing [3][4][6] Group 1: Technological Innovations - Longhua District presented a variety of cutting-edge technologies, such as the Kuavo intelligent robot and the GeneoX smart patrol robot, highlighting advancements in artificial intelligence and robotics [6][7] - The low-altitude economy was represented by innovative drone systems, including the V4 system with near-perfect reliability and Meituan's fourth-generation drone, which has completed over 670,000 orders [6][7] - A mobile real-time motion capture rehabilitation system was introduced, enabling high-precision home rehabilitation training, showcasing the integration of technology in healthcare [7] Group 2: Economic Development - Longhua District's GDP reached 156.7 billion yuan in the first half of 2025, marking a 6.2% year-on-year growth, surpassing national and provincial averages [9][10] - The district has over 4,000 national high-tech enterprises and 138 specialized "little giant" companies, indicating a robust innovation ecosystem [9] - Longhua's focus on digital economy and modern industrial systems is evident in its strategic initiatives, including the establishment of new innovation carriers and the promotion of technology-driven economic growth [8][9][10] Group 3: Exhibition and Collaboration - The High-Tech Fair served as a platform for industry collaboration and project implementation, with dedicated areas for roadshows and investment discussions to facilitate technology transfer [5] - Longhua's exhibition emphasized a blend of technology and culture, utilizing 3D printing to recreate historical architecture and integrating traditional art into modern displays [4][5]

Core Insights - The robotics industry showcased at the 27th China International High-Tech Achievements Fair (CIHTAF) has evolved from novelty displays to practical applications, with a focus on real-world usability and integration into various sectors [1][2][4] Industry Evolution - Five years ago, robots were primarily viewed as visual spectacles, with products like the AlienGo robot dog capturing attention through impressive stunts [2][4] - By 2025, the focus has shifted to diverse forms of robots, including quadrupedal, wheeled, bionic robots, digital humans, and robotic arms, emphasizing their functional capabilities [2][4] Application and Functionality - Exhibitors at the fair are now prioritizing the practical applications of robots, demonstrating their abilities in tasks such as autonomous navigation, obstacle avoidance, and interactive communication [4][6] - The integration of advanced technologies like AI voice recognition and computer vision has enhanced the functionality of robots, allowing for real-time interaction and improved operational efficiency [4][6] Market Expansion - The number of exhibitors has doubled, with 22 dedicated exhibition areas for robotics, indicating a significant growth in the industry and its applications [6] - Companies are increasingly exploring new application boundaries, with humanoid robots being utilized in various sectors, including industrial and healthcare environments [6][9] Product Development and Challenges - The maturity of robotic products, particularly robot dogs, has improved significantly, with ongoing iterations based on real-world feedback [8] - Despite advancements, humanoid robots still face challenges in achieving efficiency comparable to human workers, necessitating ongoing development and customization for specific tasks [11]