Core Viewpoint - Hefei is strategically developing a comprehensive ecosystem for embodied intelligence, transitioning from a fragmented innovation model to a collaborative cluster approach, focusing on full-chain layout, element synergy, and scene implementation [1][11]. Group 1: Industry Development - Hefei's approach emphasizes "scene innovation" to bridge the gap between technology and application, integrating embodied intelligence into real-world production and life scenarios [1][11]. - The city aims to cultivate embodied robots as effective productivity tools, highlighting the need for a "smart brain" that understands the physical world and "chain master enterprises" that can integrate the industry chain [1][11]. Group 2: Strategic Collaborations - On September 20, a strategic cooperation agreement was signed between the International Advanced Technology Application Promotion Center (Hefei), Hefei High-tech Zone Management Committee, and other entities to promote the development of the drone industry and embodied intelligence [2]. - Self-variable Robotics, a pioneer in end-to-end general embodied intelligence models, is collaborating with Hefei's industrial chain to create impactful robot products and meet local application demands worth hundreds of millions [5][12]. Group 3: Technological Innovations - The "WALL-A" model developed by Self-variable Robotics demonstrates strong generalization capabilities, enabling robots to understand and solve physical world problems autonomously [5][8]. - The newly released open-source model "WALL-OSS" aims to lower industry entry barriers and accelerate the large-scale application of embodied intelligence by attracting more enterprises and developers [6][10]. Group 4: Application and Commercialization - Hefei's established industrial ecosystem provides a testing ground for embodied intelligence robots, facilitating the transition from technology concepts to market products through real-world scenario validation [11][12]. - The collaboration between Self-variable Robotics and Hefei will focus on various application scenarios, including public services, manufacturing, and logistics, to create replicable and valuable robot application demonstration systems [13][14]. Group 5: Education and Research - The partnership will also involve building industry-academia-research platforms with universities to foster cutting-edge embodied intelligence technology development and promote deep integration of research and industry [14].

在第 25 届中国国际工业博览会（简称 " 工博会 " ）开幕进入倒计时之际，机器人大讲堂前往苏州吴中区， 探访了一家在高端传动 和智能驱动 领域低调深耕却实力超群的科技企业 —— 江苏开璇智能科技有限公司。 机器人大讲堂获悉，作为细分赛道的隐形冠军， 开璇智能此次即将在工博会上首发的 P0 级精度行星滚柱丝 杠与智能线性执行器，被不少业内人士视为破解 人形等智能机器人以及 高端装备核心 硬件 难题的关键突 破。 因为行星滚柱丝杠的精度等级分为 P0 、 P1 、 P2 、 P3 等，其中 P0 级为最高标准，对行程变动 量、 行程误差 等指标的要求极为严苛。此前，全球仅有少数几家国外企业能生产 高精度 级产品，且技术壁 垒高、交货周期长、价格昂贵。 我们深入 了解 开璇智能企业实验室、生产车间与研发现场，对话核心技术团队，试图揭开这两款 " 硬核科 技产品 " 背后的创新密码。 ▍ 构建研发测试平台 ， 健全完整评测体系 走进开璇智能的行星滚柱丝杠实验室，不免感慨该公司的研发模式已经相较两年前再次升维， 建立了 " 设计 - 制造 - 评测 - 应用 " 的完整闭环研发体系。 实验中十余台专业测试设备沿墙整 ...

Core Viewpoint - The six-dimensional force sensor is becoming crucial for dynamic control in robotics, with China's shipment expected to exceed one million units by 2030 and a market size reaching 22.071 billion yuan, reflecting a compound annual growth rate of 108.07% from 2024 to 2030 [1][3]. Group 1: Market Dynamics - The high-end market for six-dimensional force sensors is predominantly occupied by foreign companies due to their early entry and advantages in precision and stability [1]. - Domestic companies face challenges due to a lack of unified standards and evaluation systems, which hinders their competitiveness [1][3]. Group 2: Company Overview - Starry Sensor Technology Co., Ltd. (referred to as "Starry Sensor"), established in April 2025, has a team with a strong background from leading global and domestic sensor companies, focusing on technological breakthroughs in the field [3][4]. - The company aims to drive the development of the robotics force sensing industry with a mission of "technological breakthrough" [3]. Group 3: Technological Innovations - Starry Sensor's recent product launch introduced a comprehensive technology framework for force sensors, addressing customer pain points and enabling lower-cost development and validation of high-performance sensors [4][5]. - The "Nibiru 1.0" calibration system is a highlight, designed to lower the entry barrier for high-end six-dimensional force sensor development, enhancing industry calibration capabilities and trust systems [5][7]. - The new ring beam structure for six-dimensional force sensors and the C-shaped beam structure for torque sensors significantly improve overload resistance and measurement accuracy, enhancing the reliability of robots in dynamic environments [11][13]. Group 4: Manufacturing and Quality Assurance - Starry Sensor is leveraging the supply chain advantages of its investor, Zhongding Group, to ensure stable product quality through a flexible production line and a global supply chain [15]. - The company is building a high-efficiency production system that includes lifecycle quality management and specialized production management teams, aiming for a production capacity of over 200,000 units annually [15]. Group 5: Future Outlook - The technological advancements presented by Starry Sensor mark a significant milestone in the robotics force sensing industry, with potential to elevate industry standards and quality [17]. - The company plans to continue focusing on customer-driven product value, aiming to provide more precise, reliable, and universal solutions for the global market [17].

Group 1 - The second Zhuhai International Dexterous Manipulation Challenge is scheduled for October 29-30, 2025, at the Zhuhai International Convention and Exhibition Center, attracting significant industry attention [1][4] - The event focuses on dexterous manipulation technology in robotics, aiming to promote innovation and application in embodied intelligence [2][4] - The theme of the competition is "Dexterous New Forces, Intelligent Future," emphasizing a user-oriented approach in its design [4][6] Group 2 - The competition features a total prize pool of 1.98 million RMB, with the first prize being 500,000 RMB and additional investment opportunities totaling 6 million RMB for participating teams [6][49] - There are two main competition tracks: "Production" and "Life," with a total of six tasks designed to test various robotic capabilities [7][12] - The preliminary round requires teams to submit a registration form and a demonstration video by September 28, 2025, with 20 teams advancing to the finals [10][11] Group 3 - The final competition will take place on October 29-30, 2025, where teams must bring their own robotic systems to complete tasks in a live setting [10][12] - The production track includes tasks such as limited space grasping, rigid component assembly, and flexible wiring connection, while the life track includes human-robot handover, tool recognition and grasping, and tool usage [12][36] - Scoring in both tracks will be based on total points, with additional multipliers for innovative robotic systems [28][45] Group 4 - The competition encourages participation from domestic and international teams, including universities and research institutions, and allows teams to register for both tracks [48] - Each team must consist of 4-10 members, with a maximum of 3 members allowed in the competition area during the finals [48] - The organizing committee will provide accommodation and transportation for participating teams during the finals [48]

Group 1 - Zhou Hongyi, founder of 360 Group, participated in a live cooking test with Yang Jiancheng, founder of Xianglu Robotics, highlighting the capabilities of AI cooking robots in achieving "wok hei" [3][6] - Xianglu Robotics has shipped nearly 10,000 commercial cooking robots, which ensure consistent taste and reduce the difficulty of standardization in chain restaurants [3][6] - Zhou suggested that cooking robots should expand from equipment to an ecosystem, while Xianglu plans to launch a new monthly rental business model in Q4 [3][6] Group 2 - UBTECH, known as the "first stock of humanoid robots," signed a global strategic cooperation agreement with Cloud Intelligence Technology (a Foxconn subsidiary) to advance humanoid robot manufacturing and delivery [6][9] - The agreement outlines the division of responsibilities between the two companies, with Cloud Intelligence focusing on global sales and UBTECH on R&D and production [6][9] - Both companies aim to create a "humanoid robot + smart factory" demonstration scenario to promote smart manufacturing upgrades and global expansion [6][9] Group 3 - Harbin Engineering University's agile underwater robot "Turtle" was unveiled in the South China Sea, achieving centimeter-level precision in near-seabed environmental observation [9][11] - The robot's design reduces sediment interference by 90% during navigation, and it employs a new inertial measurement method that decreases data noise by approximately 76.2% [9][11] - The "Turtle" features a 360-degree maneuverability capability, making it suitable for applications in coral observation, underwater fishing, and search and rescue [9][11] Group 4 - OpenMind released the world's first "AI-native" open-source robot system, aimed at creating a unified development platform for various types of robots [11][13] - The system is hardware-neutral and supports multiple robot forms, allowing for quick deployment and compatibility with various AI models [11][13] - It integrates SLAM technology for stable movement in complex environments and includes a front-end interface for real-time monitoring of robot status [11][13] Group 5 - NVIDIA made its first investment in a Taiwanese startup, MetAI, which specializes in creating digital twin environments for AI training [17] - MetAI's platform can generate virtual defect products to assist in AI defect detection, significantly reducing design time for manufacturers [17] - NVIDIA's interest in MetAI stems from its alignment with the demand for "physical AI," facilitating a bidirectional cycle between the real and virtual worlds [17]

Core Insights - Open Access (OA) has become a significant model in scientific publishing, with Springer Nature being a leading institution in this field, offering a comprehensive OA publishing portfolio [1][3]. Group 1: OA Publishing Overview - Springer Nature has approximately 700 pure OA journals, which provide authors with greater benefits, including higher citation rates compared to industry peers. In 2023, the average citation per pure OA article was 6.3 [3]. - The average impact factor (IF) of Springer Nature's pure OA journals is high, with over 500 journals having an IF, and 62% of these journals showing growth in their IF [3]. - 309 pure OA journals are ranked in Q1 across various disciplines, representing 57% of the total, while 450 journals are in the top 50 of their fields, accounting for 83% [3]. Group 2: Springer OA Journal Brands - Springer, established in 1842, is a renowned publisher in various scientific fields, offering over 2000 mixed and OA journals [5]. - BMC, a pioneer in OA publishing, has around 300 peer-reviewed OA journals focused on advancing biological and health sciences [11]. - Discover, another OA brand from Springer Nature, aims to support researchers in publishing their findings quickly and openly, with a target publication time of 7-10 weeks [16]. Group 3: Notable Journals and Their Metrics - Nature Communications, a highly selective multidisciplinary OA journal, has an impact factor of 15.7 and a total citation count of 911,428 in 2024, making it the second most cited journal globally [34][37]. - Scientific Reports, a multidisciplinary OA journal, has an impact factor of 3.9 and a total citation count of 834,622 in 2024, ranking third in global citations [38][42]. - Humanities and Social Sciences Communications, an OA journal for humanities and social sciences, has an impact factor of 3.6 and a total download count of 10,654,567 in 2024 [42].

Core Viewpoint - Humanoid has launched the UK's first humanoid robot for industrial applications, HMND 01 Alpha, aiming to challenge the dominance of German and Japanese companies in the global industrial robotics sector [3][4]. Group 1: Product Features - HMND 01 Alpha was developed in just 7 months, setting a new record for similar products, and is designed to operate without the need for existing facility modifications [3]. - The robot features a foldable body and 360° rotation capability, allowing it to navigate between shelves and switch tasks flexibly [4]. - It stands 2.22 meters tall, weighs 300 kilograms, can carry a payload of 15 kilograms, and has a maximum speed of 2 meters per second (7.2 kilometers per hour) [4]. - The robot is equipped with 29 degrees of freedom and can operate for approximately 4 hours on a single charge [4]. Group 2: Technical Specifications - HMND 01 Alpha utilizes a wheeled chassis for movement and can operate in a range from ground level to 2 meters high, suitable for 60-centimeter deep shelves [7]. - It features a flexible end effector design, allowing for a 12-degree freedom dexterous hand or a 1-degree freedom parallel gripper, catering to various task requirements [7]. - The robot is equipped with panoramic RGB cameras and depth sensors for 360° environmental perception, driven by an end-to-end AI inference system [7][14]. Group 3: Market Strategy - Humanoid plans to deploy HMND 01 Alpha in warehouses, logistics hubs, and retail facilities for tasks such as picking, sorting, and packaging [8]. - The company adopts a "robot as a service" (RaaS) business model, allowing enterprises to use the robot through subscription or leasing, reducing the financial burden of capital expenditures [8]. - Humanoid aims to capture a total addressable market (TAM) of $38 billion in the industrial sector, with projections suggesting it could reach $1 trillion by 2050 [18]. Group 4: Company Background - Humanoid's founder, Artem Sokolov, transitioned from the jewelry industry to robotics, motivated by the desire to free workers from repetitive tasks [17]. - The company has raised $50 million in initial funding and boasts a team with expertise from major tech companies like Apple, Tesla, and Google [18]. - Humanoid's dual-track strategy focuses on immediate commercial applications with HMND 01 Alpha while exploring broader possibilities with the general-purpose HMND 01 [18][21].

针 对 上 述 挑 战 ， 来 自 华 中 科 技 大 学 的 研 究 团 队 提 出 了 一 项 创 新 性 的 技 术 ： 将 嵌 入 式 超 声 波 软 传 感 器 （Embedded Ultrasonic Soft Sensor, EUSS） 与磁力驱动器结合，构建出既能被无线操控又能实现多参 数感知的机器人传感器方法。 然而，要实现这些功能，微型机器人需具备几个核心能力：无线驱动、高精度传感、实时反馈和长期稳定 性。 其中，磁驱动被广泛认为是实现无线操控的有效方式，它可对微型机器人施加精确的力和扭矩，从而 控制其运动和形变。但仅有驱动还不够，如何在毫米甚至微米尺度上集成传感与通信系统，一直是技术上 的瓶颈。 大多数现有的无线生物电子系统仍依赖机载电池，这增加了装置的重量和体积，降低了其在磁驱动下的机 动性。虽然无电池技术（如电磁耦合）有所进展，但传输距离短（通常小于10厘米）和信号干扰问题限制 了其应用。此外，在复杂的人体环境中，如何实现稳定、抗干扰的传感与数据回传，仍是亟待解决的难 题。 ▍全新解决方案，嵌入式超声波软传感器（EUSS）与磁驱动融合 在科幻电影中，我们常看到纳米机器人潜入人体内部执 ...

近日上海清宝引擎机器人有限公司（以下简称"清宝机器人"）完成数千万级Pre-A + 轮融资。本轮融资由浙 江德创企业管理有限公司领投，宝山技术等机构跟投，融资资金将主要用于核心技术迭代与场景落地拓展。 公开信息显示，这是清宝机器人继2025年3月获得汉理资本 Pre-A 轮投资后，短期内完成的第二轮融资。仅 仅5个月，两轮融资注入，清宝机器人也因此成为融资速度最快的人形机器人公司之一，同时一定程度上反映 出资本市场对清宝机器人技术落地能力的认可。 作为本轮融资的领投方，浙江德创企业管理有限公司董事长庄君新表示，非常认可上海清宝引擎机器人有限公 司的技术发展和场景应用，投资后会全力在包括资金，场景落地等多个方面给予更多支持。 其中，清宝机器人打造全球首个自动驾驶舱测试系统，测试场景下，该系统通过清宝机器人可实现7×24 小时 不间断自动化操作，对座舱系统的 DMS 疲劳监测、语音识别、触控响应等功能可靠性进行验证，目前已服 务多家汽车制造相关企业。 据了解，清宝机器人成立于2022 年，聚焦人形机器人在真实场景中的高频需求开发。当前，清宝机器人在表 情系统、柔性运动控制和具身智能泛化方面实现了三大技术突破： ① ...

近日，硅谷初创具身智能企业Dyna Robotics宣布完成1.2亿美元 A轮融资。本轮融资由 Robostrategy、 CRV 、 firstroundcapital 联 合 领 投 ， salesforce venture 、 NVIDIA 、 Amazon 、 Samsung next 及 LG Technology Ventures 共同参投，本轮融资后，公司估值已达6亿美元。 值得一提的是，今年3月该公司曾完成 2300 万美元种子轮融资，当时由硅谷 VC CRV 和 First Round Capital 领投、真格基金参投，估值约1亿美元。时隔仅半年，公司估值已上涨6倍。 Dyna Robotics于2024年9月在美国得克萨斯州休斯敦成立，在上海设有硬件研发中心，国内主体公司上海 达纳灵动科技有限公司于2025年2月完成注册。并同期开放多个硬件研发岗位招聘。 1 ► 三位联创履历靓眼 其中一位浙大校友 中美两地协同研发 Dyna Robotics拥有三位创始人。其中，联合创始人兼 CEO Lindon Gao 与联合创始人兼 CTO 杨世远 （York Yang）是连续创业者，二人于 201 ...