转自：成都日报锦观 12月23日，诺比侃人工智能科技（成都）股份有限公司正式在香港联合交易所主板挂牌上市。此番成功 登陆资本市场，标志着这家从成都成长起来的国家级专精特新"小巨人"，正式跻身港股"AI+工业智能检 测"第一股行列，开启发展新篇章。 近年来，成都人工智能产业连续保持两位数增长，2024年人工智能核心产业规模达到1079亿元，同比增 长38.5%，实现核心产业规模和企业数量的"双千突破"。今年，成都将力争人工智能核心产业规模达到 1300亿元、增速超过30%，加速打造全国人工智能产业发展新高地。 与高校建立常态化合作机制，是成都做实人工智能领域人才引育工作的重要抓手。除了芯华创新中心之 外，成都还联合北大、川大分别组建北大成都交叉研究院、华西医疗机器人研究院。华西医疗机器人研 究院引进顾力栩、潘挺睿等教授团队，孵化精创浩达、精创赢锐等9个项目，推出手术机器人、康复机 器人等20余个产品。 以项目为牵引，成都致力于打造战略科学家集群。与50余所高校建立常态化合作机制，以重大科技项目 落地为导向，吸引院士来蓉发展，成立成都工业人工智能创新研究院、国汽智端(成都)科技有限公司 等。 最高2000万元 支 ...

12月15日至17日，2025高校科技成果交易会（以下简称"2025科交会"）在广州举行。这场以"校企携 手、融合创新：助力发展新质生产力"为主题的盛会，吸引600余所高校报名，征集企业需求逾1900项， 累计收集科技成果3000多项、大学生创业项目260余项。 顶层破局：科研管理从"后勤"转向"全线指挥" 中国高校传统的科研管理模式，存在"重立项、轻转化"的倾向，导致大量科技成果"沉睡"在论文和专利 库里。破解"不能转、不好转、不会转、不愿转、不敢转"的困境，必须从体制机制这一源头入手。 "希望高校勇担基础研究主力军、重大科技突破策源地职责使命。"教育部党组书记、部长怀进鹏在2025 科交会全体会议上的致辞，道出了新时代对高校的深切期待。 就在2025科交会召开前夕，11月，国务院办公厅印发的《关于加快场景培育和开放推动新场景大规模应 用的实施意见》明确提出，吸引高校等参与重大场景建设和科技成果产业化。时代呼唤与政策指引同频 共振，将高校推向科技创新与成果落地的最前沿。如何才能让实验室的"星光"汇聚成照亮产业的"旭 日"？ 近年来，我国先后出台《专利转化运用专项行动方案（2023-2025年）》《高校和科研 ...

12月的上海，寒意挡不住创新的热度。12日至14日，全球开发者先锋大会暨国际具身智能技能大赛 （GDPS 2025）在沪举行。 人工智能如何从虚拟算法走向实体应用？具身智能正不断探索和融入人类生活的诸多场景。这场技能大 赛通过工业生产、生活服务、专业服务三大赛道的实景比拼，立体呈现了具身智能的技术突破与产业潜 力。 工业生产：毫米毫秒之争 走进工业制造竞技区，电机高频运转的"刺刺"声此起彼伏，金属部件的精准咬合声清晰可闻。在工业装 配竞赛现场，一台人形机器人正专注完成精密零件的组装任务：它的机械臂搭载高清视觉传感器，在 0.3秒内识别出3种不同规格的零部件，指尖以0.01毫米的精度调整夹持力度，依次完成定位、插入、拧 紧等8个工序，全程无一次失误。"每个关节伺服周期快0.5毫秒，整套抓取流程就能快出一个人工节 拍。"场边，一名00后开发者正与团队成员调试参数，他们研发的实时运动控制算法，让机器人在有限 算力下实现了效率与精度的双重突破。 关键零部件赛道的比拼同样激烈。一名工程师蹲在地上，用游标卡尺反复测量开源机械臂的关节间隙并 记录数据。"对于软件工程师来说，'公差'曾是个陌生词，但如今它直接决定代码的生死。 ...

12月的上海，寒意挡不住创新的热度。12日至14日，全球开发者先锋大会暨国际具身智能技能大赛 （GDPS 2025）在沪举行。 人工智能如何从虚拟算法走向实体应用？具身智能正不断探索和融入人类生活的诸多场景。这场技能大 赛通过工业生产、生活服务、专业服务三大赛道的实景比拼，立体呈现了具身智能的技术突破与产业潜 力。 工业生产：毫米毫秒之争 走进工业制造竞技区，电机高频运转的"刺刺"声此起彼伏，金属部件的精准咬合声清晰可闻。在工业装 配竞赛现场，一台人形机器人正专注完成精密零件的组装任务：它的机械臂搭载高清视觉传感器，在 0.3秒内识别出3种不同规格的零部件，指尖以0.01毫米的精度调整夹持力度，依次完成定位、插入、拧 紧等8个工序，全程无一次失误。"每个关节伺服周期快0.5毫秒，整套抓取流程就能快出一个人工节 拍。"场边，一名00后开发者正与团队成员调试参数，他们研发的实时运动控制算法，让机器人在有限 算力下实现了效率与精度的双重突破。 专业服务赛道的竞技充满"硬核"挑战，应急救援与医疗康养两大场景，考验着具身智能在极端环境下的 实战能力。 应急救援赛区的模拟废墟现场，气氛十分紧张：碎砖坍塌区阻碍前行，烟雾弥 ...

人工智能如何从虚拟算法走向实体应用？具身智能正不断探索和融入人类生活的诸多场景。这场技能大 赛通过工业生产、生活服务、专业服务三大赛道的实景比拼，立体呈现了具身智能的技术突破与产业潜 力。 12月的上海，寒意挡不住创新的热度。12日至14日，全球开发者先锋大会暨国际具身智能技能大赛 （GDPS 2025）在沪举行。 工业生产：毫米毫秒之争 走进工业制造竞技区，电机高频运转的"刺刺"声此起彼伏，金属部件的精准咬合声清晰可闻。在工业装 配竞赛现场，一台人形机器人正专注完成精密零件的组装任务：它的机械臂搭载高清视觉传感器，在 0.3秒内识别出3种不同规格的零部件，指尖以0.01毫米的精度调整夹持力度，依次完成定位、插入、拧 紧等8个工序，全程无一次失误。"每个关节伺服周期快0.5毫秒，整套抓取流程就能快出一个人工节 拍。"场边，一名00后开发者正与团队成员调试参数，他们研发的实时运动控制算法，让机器人在有限 算力下实现了效率与精度的双重突破。 关键零部件赛道的比拼同样激烈。一名工程师蹲在地上，用游标卡尺反复测量开源机械臂的关节间隙并 记录数据。"对于软件工程师来说，'公差'曾是个陌生词，但如今它直接决定代码的生死。 ...

12月的上海，寒意挡不住创新的热度。12日至14日，全球开发者先锋大会暨国际具身智能技能大赛 （GDPS 2025）在沪举行。 人工智能如何从虚拟算法走向实体应用？具身智能正不断探索和融入人类生活的诸多场景。这场技能大 赛通过工业生产、生活服务、专业服务三大赛道的实景比拼，立体呈现了具身智能的技术突破与产业潜 力。 工业生产：毫米毫秒之争 走进工业制造竞技区，电机高频运转的"刺刺"声此起彼伏，金属部件的精准咬合声清晰可闻。在工业装 配竞赛现场，一台人形机器人正专注完成精密零件的组装任务：它的机械臂搭载高清视觉传感器，在 0.3秒内识别出3种不同规格的零部件，指尖以0.01毫米的精度调整夹持力度，依次完成定位、插入、拧 紧等8个工序，全程无一次失误。"每个关节伺服周期快0.5毫秒，整套抓取流程就能快出一个人工节 拍。"场边，一名00后开发者正与团队成员调试参数，他们研发的实时运动控制算法，让机器人在有限 算力下实现了效率与精度的双重突破。 关键零部件赛道的比拼同样激烈。一名工程师蹲在地上，用游标卡尺反复测量开源机械臂的关节间隙并 记录数据。"对于软件工程师来说，'公差'曾是个陌生词，但如今它直接决定代码的生死。 ...

0:00 潘洁 摄影剪辑 12月12日，2025全球开发者先锋大会暨国际具身智能技能大赛（GDPS 2025）在上海浦东张江科学会堂拉开大幕。 - <- : | : :: | 2 IT :: | | :: VE IIIIII R 4 unitification a 家公司 TD e 首日，《国际金融报》记者在赛场内看到，居家服务、搬运、插花等热门赛道率先开赛，一场场精彩比拼接连上演。各训练有素的参赛机器人"选手"轮 番登场，现场感拉满。 居家服务赛道的展台上，一款人形机器人正有条不紊地进行叠衣服比拼，它精准抓取散落的T恤，平铺、对折、整理边角一气呵成，整套动作流畅丝 滑。 0:00 另外，此次大赛应急救援赛道更是诠释了机器人的"终极价值"：大赛搭建的10米×30米拟真赛道，要求机器人完成碎石堆越障、窄道通行、重载运输 等任务，模拟火场、灾区的救援场景。正如大赛应急救援赛道那句口号所言，"若一去不回，便一去不回"，机器人正逐步成为人类应对危险场景的"先行 者"。 从工业生产到社会服务、从家庭助理到应急救援、从医疗照护到艺术演绎，此次大赛设立工业装配搬运、社会服务（包括餐厅、插花比赛）、居家服务 （比如叠衣服）、 ...

Core Viewpoint - The 2025 Intelligent Robot Competition successfully showcased the potential of the robotics industry, emphasizing the importance of technology innovation and its application in various sectors [1][14]. Group 1: Competition Overview - The competition, themed "Leading Technology, Innovating the Future," was held in Beijing and attracted over 100 teams from across the country, focusing on four main tracks: manufacturing, rehabilitation and elderly care, safety and emergency, and innovation [1]. - A total of 31 outstanding teams emerged as winners, demonstrating significant advancements in robotics technology and its practical applications [1]. Group 2: Awards and Achievements - Third prizes were awarded to several teams, including Beijing Linghe Technology in the manufacturing category and multiple teams in the rehabilitation and elderly care categories, showcasing their technical capabilities and scene adaptability [4][5][6]. - Second prizes highlighted teams with advanced technical solutions, such as the flexible dual-arm assembly robot team and the Xiangyu Medical team, indicating a strong potential for industrial application [9][7]. - First prizes were awarded to top teams like the Chongqing University team and the Dalu Zhiyuan Robot team, recognized for their breakthrough technologies and high-value industrial application potential [12][10]. Group 3: Industry Impact - The competition provided over one million yuan in total prizes to support the winning teams in furthering their technology research and accelerating the commercialization of their innovations [13]. - The event served as a crucial link between technological innovation and industrial application, promoting the integration of cutting-edge technology with real-world scenarios [14].

Core Viewpoint - The 2025 Intelligent Robot Competition aims to promote the large-scale application and industrialization of intelligent robots, showcasing innovative solutions and driving high-quality development in the industry [2][15]. Group 1: Competition Overview - The competition, themed "Leading Technology, Innovating the Future," successfully concluded its preliminary round on November 27, 2023, in Changping District, Beijing [2]. - Over 100 innovative teams participated, presenting cutting-edge achievements in the field of intelligent robotics [2]. - The competition is organized by the China Software Testing Center and Beijing Future Science City Development Group, featuring four main tracks: manufacturing, rehabilitation and elderly care, safety and emergency, and innovation [2][14]. Group 2: Manufacturing Track - The manufacturing track focuses on the capabilities of industrial robots in high-precision tasks, multi-functional processing, and adaptive flexible production [4]. - Teams presented technical architectures and algorithms for high-speed, high-precision motion control, demonstrating the robots' abilities in precise assembly and dynamic obstacle avoidance [4]. - Eight teams advanced to the finals from this track, with discussions on the practical application potential and cost control of the presented products [4]. Group 3: Rehabilitation and Elderly Care Track - This track emphasizes the application of intelligent robots in rehabilitation assistance, health management, and emotional companionship [6]. - Teams explored various applications, including lower limb training, navigation for the visually impaired, and flexible exoskeletons, showcasing the diverse practical value of rehabilitation robots [6]. - A total of 25 teams progressed to the finals, with evaluations focusing on safety, ease of use, and adaptability to diverse needs [6]. Group 4: Safety and Emergency Track - The safety and emergency track highlighted the reliability of mechanical designs in extreme environments, showcasing innovative solutions for various scenarios [8][9]. - Teams demonstrated capabilities in environmental perception, autonomous navigation, and complex task execution, with 12 teams advancing to the finals [9]. - Expert evaluations focused on the adaptability of products to multiple scenarios and their practical value in replacing human labor [9]. Group 5: Innovation Track - The innovation track featured a variety of robot forms, including humanoid, flying, and crawling robots, with many teams presenting unique products [12]. - Teams articulated their technical development logic and showcased impressive physical demonstrations, emphasizing cross-disciplinary innovation [12]. - A total of 27 teams advanced to the finals from this track, highlighting the vibrant innovation landscape in robotics [12]. Group 6: Future Prospects - The finals will take place on December 8-9, 2023, where teams will compete in real task scenarios [14]. - Winning teams will share a prize pool of 1.3 million yuan and benefit from supportive policies in Changping District, facilitating project acceleration and industrialization [14]. - The competition serves as a platform for technology exchange and results transformation, aiming to shorten the cycle from laboratory results to industrial application [15].

Investment Rating - The report does not explicitly state an investment rating for the smart elderly care robot industry Core Insights - The smart elderly care robot industry in China has transitioned from conceptual demonstrations to practical applications, supported by policy, standards, technology integration, and diverse applications, forming a comprehensive industrial support system [4] - The market size for smart elderly care robots is projected to grow from 9.05 billion in 2020 to 28.17 billion by 2024, with a compound annual growth rate (CAGR) of 32.9%, and further expected to reach 65.79 billion by 2029, with a CAGR of 15.2% [7][8] - The industry is driven by the accelerating aging population and the growing demand for elderly care services, with significant technological advancements enhancing product functionality and reliability [8] Market Background - Smart elderly care robots are defined as intelligent systems designed to assist elderly individuals in daily living, safety monitoring, cognitive enhancement, and emotional companionship, transitioning from human-dependent to human-machine collaborative care [5] - The evolution of the smart elderly care robot market shows a clear progression from single-function exploration to systematic service integration, with recent advancements enabling robots to perform complex tasks such as fall detection and medication reminders [6] Market Status - The market supply of rehabilitation robots has evolved from traction-based to exoskeleton types, with ongoing improvements in comfort, interactivity, and intelligence [9] - The demand for elderly care robots is increasing due to the rapid expansion of elderly care institutions and community facilities, with the number of elderly care institutions growing from 168,000 in 2018 to 363,000 in 2023, a growth rate of approximately 115.5% [10] Market Competition - The competitive landscape is characterized by a focus on rehabilitation robots, with leading companies like Fourier Intelligence dominating this segment, while nursing and companionship robots are emerging fields with varying levels of market maturity [17] - The evaluation of leading brands in the market is based on five dimensions: scene adaptability, R&D strength, integration of medical and care services, operational capability, and safety reliability [11][12][13][14][15] Development Trends - The industry is moving towards a comprehensive service system that integrates smart elderly care robots into various care scenarios, emphasizing the importance of seamless integration with smart elderly care platforms [27] - Technological advancements are driving a shift from perceptual execution to cognitive decision-making in smart elderly care robots, enhancing their ability to provide personalized health assessments and early warnings for abnormal behaviors [28] - Policy support and ecosystem collaboration are facilitating the commercialization of smart elderly care robots, moving from pilot demonstrations to widespread adoption as essential infrastructure in elderly care [29]