日前，国家标准化管理委员会正式公示"上海虚实融合具身智能训练场标准化试点"项目。作为全国首个 具身智能领域的国家级标准化试点，该项目有望为具身智能技术的规模化应用按下加速键。 记者从云从科技(688327)获悉，公司作为生态伙伴之一，深度参与这一里程碑式的产业协作网络，与各 方共同推动技术标准与场景实践的深度融合。该试点项目联合云从科技、华为、上海AILab等生态伙 伴，形成"标准共研-检测验证-标杆共建"的闭环。在这一体系中，云从凭借在AI工程化落地方面的经 验，积极参与训练场建设、数据质量评价、基准测试等，助力解决技术落地中的可靠性、兼容性等痛 点。 据介绍，上海虚实融合具身智能训练场标准化试点项目肩负的使命，是围绕实体物理场、虚拟训练场、 本体/部组件、场景应用四大领域，制定80余项关键标准。通过"麒麟"主训练场与"白虎"数据集的双核 驱动，构建覆盖全产业链的标准化能力体系。 而云从科技在计算机视觉、人机协同、AI智能体等领域的技术积累，与试点项目"数据流通、场景贯 通"的目标高度契合。通过参与标准验证与生态共建，云从正助力推动跨区域、跨行业的高质量数据归 集与模型训练，为具身智能的规模化落地奠定基础。 ...

Core Insights - The "2025 Technology Innovators Conference" was held in Beijing, focusing on advancing the China-Italy Robotics (Beijing) Research and Innovation Center through international cooperation [1] - The establishment of the "Embodied Intelligence - Industry Collaborative Innovation Center" was announced, with founding members including major companies like BOE, Lenovo, TCL, Schneider, Inspur, and others, aiming to create a new development paradigm that integrates technology, projects, industry, and capital [1] - The conference introduced the "Top Ten Application Scenarios for Embodied Intelligence," covering key sectors such as logistics, retail, manufacturing, marine, and energy, with ten selected companies serving as practical benchmarks for the industry [1] Industry Developments - A report titled "2025 China Embodied Intelligence Industry Star Map" was released, analyzing over 300 representative companies in the embodied intelligence sector across five core areas: foundational technology, general embodied intelligence, specialized embodied intelligence, dexterous hands and end-effectors, and core components [2]

Core Viewpoint - The establishment of the "Embodied Intelligence Branch" of the China Electromechanical Integration Technology Application Association aims to promote the development of embodied intelligence in China, integrating resources to address challenges and drive high-quality economic growth [1]. Group 1: Background of the Embodied Intelligence Branch - The strategic value of embodied intelligence is highlighted as a key driver of the new technological revolution and industrial transformation, integrating AI, robotics, and cognitive science [2]. - In the first half of 2025, domestic financing for the embodied intelligence industry exceeded 23 billion yuan, indicating rapid growth and significant potential in various sectors such as industrial, logistics, healthcare, and elder care [1]. Group 2: Relationship Between Electromechanical Integration and Embodied Intelligence - Electromechanical integration serves as the "physical foundation" for embodied intelligence, facilitating the evolution of intelligent systems from "functional integration" to "cognitive interaction" [2]. - The relationship is characterized by a dynamic closed-loop interaction between the physical structure provided by electromechanical integration and the cognitive capabilities of embodied intelligence [2]. Group 3: Introduction to the Leading Association - The China Electromechanical Integration Technology Application Association, established in September 1989, is a national, professional, non-profit organization focused on automation, robotics, and intelligent manufacturing [3]. Group 4: Purpose and Positioning of the Branch - The branch will act as a national industry organization for embodied intelligence, bridging government and industry, and focusing on technology research, industry standards, and application scenarios [4][5]. Group 5: Membership Recruitment Scope - The recruitment targets key industry enterprises across three levels: upstream component and software companies, midstream integration and application companies, and downstream end-user enterprises in various sectors [6]. - Research institutions and universities involved in embodied intelligence research are also included in the membership scope [7]. - Third-party service organizations related to the embodied intelligence field are encouraged to join [8]. Group 6: Membership Application Conditions - Applicants must have independent legal entity status, comply with national laws, and have no major violations in the past three years [9]. Group 7: Work Procedures - The application process includes material submission, qualification review, and the convening of an inaugural meeting to establish the branch's leadership [10][11][12].

8月12日，据戴盟机器人消息，戴盟机器人于近日完成亿元级天使++轮融资，由招商局创投领投，东方 嘉富、架桥资本跟投。本轮融资将助力戴盟加速全球领先的视触觉感知与灵巧操作技术的落地应用，持 续引领具身智能技术的产业化进程。 ...

Core Viewpoint - The article discusses the rapid advancements in embodied intelligence and its potential to achieve the ultimate goal of general-purpose robotics, emphasizing the importance of technology development and market demand in this field [2][3][10]. Group 1: Trends in Embodied Intelligence - Embodied intelligence is currently the hottest subfield in AI, with significant technological advancements occurring at an exponential rate [2][3]. - Four major trends in embodied intelligence technology are identified: maturity in robot control technology, expansion of end-to-end technology from autonomous driving to robotics, accumulation of data leading to scaling laws, and the emergence of high-degree-of-freedom dexterous hand solutions [2][3]. - The transition from specialized to general-purpose robots requires precise perception of the physical world and the ability to plan and reason through complex tasks [3][9]. Group 2: Market Opportunities and Challenges - The selection of market opportunities for robotics focuses on high-value, scalable, and challenging problems that previous generations of robots could not solve [3][30][38]. - The manufacturing sector is identified as a prime candidate for the first large-scale deployment of robots due to its existing demand and pain points [36][38]. - The economic model of robotics must be viable, with usability and practicality being critical factors for successful implementation [38]. Group 3: Technological Development and Industry Insights - The development of embodied intelligence is seen as a continuation of the advancements made in autonomous driving, with shared technological foundations [21][22]. - The industry is experiencing a macro-level consensus on the importance of data and the end-to-end model, while micro-level practices remain diverse [10][17][19]. - The challenges of integrating robotics into real-world applications include ensuring reliability and managing operational complexities, as learned from past experiences in logistics robotics [24][26][27]. Group 4: Future Directions and Innovations - The future of embodied intelligence is expected to be driven by advancements in large models, particularly in their ability to perceive and interact with the physical world [9][10]. - The exploration of multi-modal data integration and the development of memory mechanisms in models are highlighted as critical areas for future research [14][15][19]. - The industry is encouraged to maintain a balance between technological faith and practical application, ensuring that innovations are aligned with market needs [16][17].

Group 1 - The central theme of the article emphasizes the need for deepening reforms to stimulate economic growth and achieve the goals set for the "14th Five-Year Plan" [3][12] - The article highlights the importance of innovation and the integration of technology with industry to foster new productive forces, as well as the necessity of addressing existing challenges through reform [5][6] - The establishment of a unified national market is identified as a critical step in enhancing competition and breaking down regional barriers, which is essential for high-quality economic development [7][8] Group 2 - The article discusses various government initiatives aimed at promoting technological innovation, including substantial funding for artificial intelligence and robotics, which are intended to support research and development [6][10] - It outlines the importance of creating a fair and transparent environment for all types of economic entities, including private and state-owned enterprises, to thrive and compete effectively [11][12] - The article stresses the need for institutional reforms to ensure the protection of property rights, market access, and fair competition, which are vital for the construction of a unified market [9][10]

Group 1 - The article discusses job opportunities in the autonomous driving sector, specifically for positions related to end-to-end and traditional control algorithms at a leading self-driving supplier [1] - Positions mentioned include Autonomous Driving Control Algorithm Engineer/PNC Expert with a salary range of 40k-100k/month and End-to-End/VLA Engineer with a salary range of 30k-80k/month [2][4] - The article highlights the responsibilities and requirements for various roles, emphasizing the need for advanced degrees and proficiency in programming languages such as C++ and Python, as well as familiarity with control algorithms and machine learning techniques [5][10] Group 2 - The article mentions a community called AutoRobo Knowledge Planet, which serves as a platform for job seekers in autonomous driving and embodied intelligence, currently hosting nearly 1000 members from various companies [11] - It outlines the internal resources available to members, including interview questions, industry reports, salary negotiation tips, and job referrals [13][14] - The community also provides insights into the autonomous driving industry, including trends, market opportunities, and research reports on embodied intelligence [23][24]

Group 1: New Consumption and Silver Economy - The emerging force in the silver economy service sector, "Gongbinli," announced the completion of over 100 million RMB in Series A financing, led by Hong Kong Concept Capital, with Minglun Capital serving as the financial advisor [3][6] - "Tianyuan Home" elderly care industry group successfully completed several million RMB in Series A financing, with investments from multiple parties including金沙江联合资本 and 岳丰资本 [3][7] Group 2: Hard Technology - "Xinghai Tu" completed A4 and A5 rounds of financing, totaling over 100 million USD, with participation from various investors including Meituan Longzhu and IDG Capital [3][22] - "TAR" announced the completion of 1.22 million USD in angel+ round financing, led by Meituan's investment arm [3][23] - "Yuanwei Semiconductor" completed the first batch of several million RMB in Series A financing, led by several top industry investment institutions [3][13] Group 3: Internet and AI Integration - "Lingjing Wanhui," an AI animation industrial production platform, completed several million RMB in angel round financing, backed by 柏睿资本 and 零以创投 [4][32] - "Mootion," an AI video generation platform, announced a new round of several million RMB in strategic financing, with total financing nearing 100 million RMB [4][36] Group 4: Health Sector - "Enkaisei Medicine" announced the completion of nearly 100 million RMB in A+++ round financing, with participation from浦东创投 and 星博生辉 [3][28] - "Shuwen Biotechnology" completed nearly 100 million RMB in C1 round financing and is initiating C2 round financing, led by 金创投 [3][29] Group 5: Internet/Enterprise Services - "Guangbenwei" completed two rounds of financing recently, led by 敦鸿资产, with participation from various national capital funds [3][31] - "Mootion" completed a new round of several million RMB in strategic financing, with total financing nearing 100 million RMB [4][36]

Core Viewpoint - The article highlights the ongoing recruitment activities in the autonomous driving sector, indicating a strong demand for various technical roles, particularly in perception, control, and algorithm development, as companies prepare for the upcoming hiring season in late July and early August [2]. Recruitment Opportunities - Numerous companies, including Horizon Robotics, Didi, and Yuanrong Qixing, are opening recruitment for the 2026 class, with a variety of positions available in hardware, software, and algorithm development [3][4]. - Specific roles mentioned include hardware development engineers, perception engineers, middleware software engineers, planning control algorithm engineers, and safety algorithm engineers, with multiple openings across major cities like Beijing, Shanghai, and Guangzhou [3][4]. Community and Resources - The AutoRobo Knowledge Circle serves as a community for job seekers in the fields of autonomous driving and embodied intelligence, providing resources such as interview questions, experience sharing, industry reports, and resume optimization services [8][9]. - The community has nearly 1,000 members, including professionals from leading companies in the industry, facilitating networking and knowledge exchange [8]. Interview Preparation - The article emphasizes the importance of thorough preparation for interviews, suggesting candidates highlight their strengths in resumes and practice extensively before interviews to avoid missed opportunities [2]. - A collection of 100 interview questions related to autonomous driving and embodied intelligence is available within the community, aiding candidates in their preparation [12][13]. Industry Insights - The article mentions various industry reports available within the community, covering topics such as the development trends and market opportunities in the embodied intelligence sector, as well as specific reports on humanoid robots and their production [18]. - Insights into successful and unsuccessful interview experiences are shared, providing valuable lessons for candidates navigating the job market [20].

Core Viewpoint - The 2025 Yangtze River Delta (Kunshan) Embodied Intelligence Scene Application Competition aims to promote innovation and collaboration in the field of embodied intelligence, focusing on robotics, intelligent connected vehicles, and low-altitude aircraft [5][6]. Group 1: Competition Overview - The competition is organized by the China Software Testing Center and Kunshan High-tech Group, with support from various institutions including the Ministry of Industry and Information Technology [3][6]. - It will take place from July 31 to August 1, 2025, in Kunshan, Jiangsu Province, featuring three competition tracks: robotics, intelligent connected vehicles, and low-altitude aircraft [3][5]. - The registration period is from June 30, 2025, to July 20, 2025, with teams encouraged to participate [3][4]. Group 2: Competition Structure - The competition consists of three tracks: robotics, intelligent connected vehicles, and low-altitude aircraft, with a total of 13 events across various scenarios [8][11]. - The robotics track includes events in industrial manufacturing, logistics warehousing, commercial applications, and performance, with specific tasks such as warehouse inspection and robot soccer [11][12]. - The intelligent connected vehicles track covers events like unmanned transportation and automatic parking, while the low-altitude aircraft track includes scenarios for smart logistics and industrial inspection [12][13]. Group 3: Awards and Recognition - Each track will have separate rankings for events, with awards and certificates for top-performing teams [14][20]. - The total prize pool and specific award amounts are yet to be detailed [15][20]. Group 4: Participation and Registration - The competition invites domestic and international enterprises, universities, research institutions, and innovative teams related to embodied intelligence to participate [21][22]. - Registration can be completed through the official WeChat accounts of the China Software Testing Center and the Robot National Evaluation Center [22][25].