Core Viewpoint - The 2025 "Mechanical Industry Science and Technology Award" has completed its evaluation work, with a total of 549 projects proposed for awards, including 50 for technological invention and 499 for scientific and technological progress [2][4]. Summary by Categories Technological Invention Award - A total of 50 projects are proposed for the Technological Invention Award, which includes: - 1 Special Award - 14 First Prizes - 24 Second Prizes - 11 Third Prizes [2][4]. Scientific and Technological Progress Award - A total of 499 projects are proposed for the Scientific and Technological Progress Award, which includes: - 4 Special Awards - 35 First Prizes - 210 Second Prizes - 250 Third Prizes [2][4]. Public Notice and Objection Process - The proposed award projects are open for public notice from September 29 to October 18, lasting 20 days. During this period, any objections can be submitted to the Mechanical Industry Science and Technology Award Office [2][4]. Contact Information - The contact address for the Mechanical Industry Science and Technology Award Office is located in Dongcheng District, Beijing. The contact person is Niu Fang, with a phone number of 010-65123082 and an email address of chinajixiekjj@163.com [3][4].

金秋九月，清风送爽。9月26日，由中国安全防范产品行业协会（以下简称中安协）主办并承办的2025智能机器 人与公共安全创新发展论坛在北京成功举办。本次论坛作为2025中国安防"人工智能+"行动大会的重要组成部 分，以"具身智能 创造未来"为主题，汇聚了来自政府主管部门、行业协会、科研机构、公安机关及智能机器人企 业的众多专家学者与行业代表，共同探讨智能机器人在公共安全领域的前沿趋势、技术突破与实战应用，共话机 器人技术与公共安全深度融合新未来。 论坛得到了中国刑事科学技术协会、中国能源研究会网络安全和信息化工作委员会、《机器人技术与应用》杂志 社、中关村融智特种机器人产业联盟等单位的大力支持。 论坛现场 出席论坛的领导嘉宾有：中安协理事长顾建国、中安协副理事长刘晓京、中安协秘书长王楠、公安部科技信息化 委员会原副主任、中安协智慧社区与智能家居专业委员会主任委员刘明芳、工业和信息化部赛迪研究院（中国电 子信息产业发展研究院）科技处处长 董凯 、原中国人民武装警察部队学院边防系主任张保平、中国人民武装警察 部队特种警察学院主任邢春洪、北京警察学院原政委李汝川、新疆维吾尔自治区公安厅技术总监唐明、安徽省公 安厅科技 ...

日前， 优必选智慧物流子公司 UQI 优奇与天奇自动化工程股份有限公司（下称"天奇股份"）正式签订采购合同。 天奇股份将采购总价 3000万元 的优必选工业人形机器人Walker S系列，该笔采购将于2025年12月31日前完成 交付。 优必选与天奇股份有着长远、紧密和共赢的战略合作伙伴关系，并实现了双方优势资源的共享、协同及互补，推 动着 "人形机器人+智能制造" 的高质量发展。 2023年6月，优必选与天奇股份签署《战略合作框架协议》 ， 基 于人形机器人在 新能源汽车、3C电子、智慧物流 等工业场景的应用领域构建深度合作关系，展开全球领先的人 形机器人前沿开发及全周期解决方案的创新应用，如将人形机器人应用于工业制造场景领域的产品及解决方案的 研发、生产制造，推动人形机器人在汽车智能制造等高端制造领域的落地应用等。 文章来源：优必选科技 如需咨询 商务合作、 宣传推广、 转载开白等事宜，请联系：18355423366 (微信同号)对接。 END 75家机器人上市公司2025半年报总结：营收5821亿，盈利301亿，传统巨头与AI新锐谁能最终胜出？ 一文看懂机器人概念75家上市公司2025年半年报 75家机 ...

Company Overview - Zhiyuan Robotics recently disclosed its latest partner team, with key figures including founder and CEO Deng Taihua, co-founder and CTO Peng Zhihui, and several other senior executives with extensive backgrounds in technology and AI [1][2] Leadership Background - Deng Taihua has over 20 years of experience at Huawei, where he led the development of the Kunpeng and Ascend AI computing ecosystems [1] - Peng Zhihui joined Huawei in 2020, focusing on Ascend AI chips and algorithms, and officially left to establish Zhiyuan Robotics in 2023 [1] - Jiang Qingsong has over 20 years of ICT experience and is responsible for building the marketing and service system at Zhiyuan Robotics [1][2] Team Composition - The team includes notable members such as Yao Maoqing, who has experience at Waymo and NIO, and Wang Chuang, who was part of the founding team at DJI [2] - Luo Jianlan, the Chief Scientist, has a background at GoogleX and Google DeepMind, contributing to significant advancements in robotic learning systems [2] Industry Insights - The robotics industry is seeing a mix of traditional giants and new AI entrants, with a reported revenue of 582.1 billion and a profit of 30.1 billion from 75 listed robotics companies in the first half of 2025 [3] - The industry is experiencing a shake-up, with increasing competition and innovation, particularly in humanoid robotics and AI integration [4]

康多机器人® SR2000 腹腔内窥镜手术系统创新性搭载多模态高性能图像导航平台，可在术中实时融合4K荧光导 航、超声定位、术前CT/MRI等关键信息，通过多屏幕医生控制台清晰呈现，为外科医生提供强大的决策支持。 近日，思哲睿智能医疗迎来全球业务发展的重要里程碑。继在印度市场取得突破后，康多机器人®SR2000在厄瓜多 尔、印尼等国的订单正式进入批量交付阶段，标志着产品在全球范围内的商业化进程全面提速。装载着康多机器人 ®SR2000的包装箱正陆续发往世界各地，一场全球范围的微创手术变革悄然开启，这也是 康多机器人®SR2000 卓越 技术性能与临床应用能力获得全球市场认可的生动体现。 技术领先是开拓全球市场的基石 康多机器人 ® SR2000 能够迅速获得海外市场的青睐，源于其前瞻性的技术布局和历经验证的临 床实力。 多模态高性能图像导航平台， 国际市场高度认可 多科室认证助推临床普惠 目前，康多机器人® SR2000 的多科室临床应用已获得中国NMPA、印尼卫生部、厄瓜多尔卫生 部、白俄罗斯卫生部等全球多家监管机构的批准认证，能够胜任泌尿外科、普外科、妇科、胸 外科等诸多领域的复杂微创手术，为其在全球范围 ...

Core Points - The article discusses the preliminary evaluation results of the 2025 National Science and Technology Awards, highlighting the projects that have passed the initial review [2][3][5]. Group 1: National Natural Science Award - A total of 60 projects have passed the preliminary evaluation for the National Natural Science Award [2]. - These projects will be publicly announced on the National Science and Technology Management Information System platform [2]. Group 2: National Technology Invention Award - 51 general projects and 20 specialized projects have passed the preliminary evaluation for the National Technology Invention Award [2]. - The specialized projects will be internally announced within the relevant management and nomination units [2]. Group 3: National Science and Technology Progress Award - 134 general projects and 37 specialized projects have passed the preliminary evaluation for the National Science and Technology Progress Award [2]. - Similar to the Technology Invention Award, specialized projects will be internally announced [2]. Group 4: Objection Process - Individuals or organizations can raise objections to the announced projects within 15 days of the public announcement, following specific regulations [2]. - Objections must be submitted in writing and include necessary evidence, with personal submissions requiring identification details [2].

Core Viewpoint - The conference emphasized the strategic importance of integrating artificial intelligence with the security industry, highlighting opportunities for innovation and development in the sector [2][9][49]. Group 1: Conference Overview - The "2025 China Security 'Artificial Intelligence+' Action Conference" was held on September 26 in Beijing, focusing on policy direction, industry transformation, technological innovation, and future trends [2]. - The event gathered over 400 participants, including government officials, industry leaders, and representatives from top security companies, to discuss the future of AI in security [4][49]. Group 2: Key Speeches and Insights - Liu Lihua, former Vice Minister of Industry and Information Technology, stated that AI is a core engine for high-quality economic development and emphasized the importance of the government's policy for the security industry's transformation [8][9]. - Li Dewen from the China Academy of Information and Communications Technology highlighted the need for the security industry to embrace AI to enhance public safety [11]. - Gu Jianguo, Chairman of the China Security and Prevention Products Industry Association, noted significant achievements in the security industry but also stressed the importance of addressing challenges such as data security and AI safety [13]. Group 3: Action Initiatives - The conference introduced the "2025 China Security 'Artificial Intelligence+' Action Initiative," which outlines five key action directions: promoting self-reliance, application-oriented development, accelerating digital transformation, enhancing industry collaboration, and strengthening risk management [16]. - The initiative aims to unify industry consensus and foster collaboration to accelerate the implementation of AI in security [16]. Group 4: Technological Innovations - Various speakers discussed the transformative potential of large models in the security industry, emphasizing their role in moving from a perception era to a cognition era [21]. - The application of multi-modal large models in public safety scenarios was highlighted as a significant advancement, providing strong momentum for the industry [22]. - The importance of AI-driven solutions in enhancing operational efficiency and compliance in public safety was underscored by multiple speakers [25][32]. Group 5: Industry Trends and Future Directions - The conference addressed the ongoing digital transformation and intelligent enhancement within the security industry, marking a critical period for new opportunities driven by AI [49]. - The establishment of new growth areas and the integration of AI with various sectors were discussed as essential for the future of the security industry [41][44].

Core Insights - The 2025 Artificial Intelligence Industry Conference highlighted ten key trends in AI, emphasizing the convergence of technology, applications, and ecosystems, leading to a clearer vision of a smart-native world [1]. Group 1: Foundation Super Models - In 2025, foundational models and reasoning models are advancing simultaneously, with a comprehensive capability increase of over 30% from late 2024 to August 2025 [3][4]. - Key features of leading large models include the integration of thinking and non-thinking modes, enhanced understanding and reasoning abilities, and built-in agent capabilities for real-world applications [4][6]. - The emergence of foundational super models simplifies user interaction, enhances workflow precision, and raises new data supply requirements [6]. Group 2: Autonomous Intelligent Agents - Highly encapsulated intelligent agent products are unlocking the potential of large models, showing better performance in complex tasks compared to single models [9][10]. - Current intelligent agents still have significant room for improvement, particularly in long-duration task execution and interconnectivity [12]. Group 3: Embodied Intelligence - Embodied intelligence is transitioning from laboratory settings to real-world applications, with models being deployed in practical scenarios [15][16]. - Challenges remain in data quality, model generalization, and soft-hard coordination for effective task execution [18]. Group 4: World Models - World models are emerging as a core pathway to general artificial intelligence (AGI), focusing on capabilities like data generation, action interpretation, environment interaction, and scene reconstruction [21][22]. - The development of world models faces challenges such as unclear definitions, diverse technical routes, and limited application scope [22]. Group 5: AI Reshaping Software - AI is transforming the software development lifecycle, with significant increases in token usage for programming tasks and the introduction of advanced AI tools [25][28]. - The role of software developers is evolving into more complex roles, leading to the emergence of "super individuals" [28]. Group 6: Open Intelligent Computing Ecosystem - The intelligent computing landscape is shifting towards an open-source model, fostering collaboration and innovation across various sectors [30][32]. - The synergy between software and hardware is improving, with domestic hardware achieving performance parity with leading systems [30]. Group 7: High-Quality Industry Data Sets - The focus of AI data set construction is shifting from general-purpose to high-quality industry-specific data sets, addressing critical quality issues [35][38]. - New data supply chains are needed to support advanced technologies like reinforcement learning and world models [38]. Group 8: Open Source as Standard - Open-source initiatives are reshaping the AI landscape, with significant adoption of domestic open-source models and a growing number of active developers [40][42]. - The business model is evolving towards "open-source free + high-level service charges," promoting cloud services and chip demand [42]. Group 9: Mitigating Model Hallucinations - The issue of hallucinations in large models is becoming a significant barrier to application, with ongoing research into mitigation strategies [44][46]. - Various approaches are being explored to enhance data quality, model training, and user-side testing to reduce hallucination rates [46]. Group 10: AI as an International Public Good - Global AI development is uneven, necessitating international cooperation to promote equitable access to AI technologies [49][51]. - Strategies are being implemented to address challenges in cross-border compliance and data flow, aiming to make AI a truly shared international public good [51].

在当前具身智能产业化过程中，众多企业面临典型的 "技术、成本、规模" 三角困境 ， 三者存在 内在关联 又 相 互制约：技术需通过场景验证，而场景对技术可控性有要求；同时，若没有量产规模，技术成本的可控性便无法 实现 。 链主企业如何帮助被投资企业来平衡一个理想的技术和现实之间的差异？ 图注：圆桌现场 9月5日，由智友·雅瑞 科创平台主办的"2025科技创变者大会"在北京 成功举办。在圆桌对话环节，主持人 广发 证券投行业务管理委员会委员、董事总经理孟晓翔 与 长城资本总经理唐杰，讯飞创投合伙人徐剑，徐工产投投资 总监欧志培， 联想创投史晨星 共同探讨 了 产投视角下具身智能的规模化落地与攻坚 。 孟晓翔：具身智能是人工智能向物理世界延伸的关键载体，近两年已从实验室研究成果逐步进入产业领域。 当 前， 技术突破是具身智能产业发展的最重要因素，生态构建也是产业发展的重要推进力，其需覆盖感知、决策到 执行各环节，实现从单点技术突破到整体集成、从示范场景到规模商用的推进。 但是 生态构建面临技术成熟度、 供应链安全、商业闭环、资本协同多方面的挑战 ， 需要 链主企业的支持。 图注： 广发证券投行业务管理委员会委员、 ...

Core Viewpoint - The development of humanoid robots is heavily reliant on innovations in communication connectivity, chip computing power, and energy consumption control, necessitating open collaboration and innovation within the industry to accelerate progress [1][2]. Group 1: Development Roadmap - The CEO of Yushu Technology, Wang Xingxing, outlined a roadmap for humanoid robots, emphasizing the need for real-time action generation based on arbitrary commands, aiming for significant advancements by the end of next year [1]. - The company has made progress in teaching robots to perform various human movements, with expectations to achieve real-time action capabilities soon [1]. Group 2: Industry Challenges - A significant challenge in the robotics industry is related to cabling, with 60% to 70% of industrial robot failures attributed to cable issues, highlighting the importance of reducing cable weight and quantity for improved performance and reliability [2]. Group 3: Model Development - The development of large models is crucial for enhancing the general capabilities of robots, with a call for open-source collaboration similar to early OpenAI practices to foster industry growth [3][4]. - Yushu Technology has announced the open-sourcing of UnifoLM-WMA-0, a world model designed for general robot learning, which includes datasets and training source codes [4].