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].

Group 1 - The humanoid robot "Lingxi X2-N" by Zhi Hui Jun is set for large-scale delivery, with thousands of units expected by the end of 2026 [1] - Tsinghua University's team developed a programmable control platform for magnetic fluid droplet robots, enhancing their movement and deformation capabilities [4] - Shoucheng Holdings' fund has made an additional investment in Starry Sky Map, indicating strong confidence in the company's growth potential [5][7] Group 2 - The first Guangdong-Hong Kong-Macao Construction Robot Competition showcased significant advancements in intelligent construction technology, with over 40 signing intentions on the first day [8][10] - Hubei has established a 10 billion yuan humanoid robot industry investment fund, aiming to attract substantial social capital and support key industries [11][13]

Group 1 - MIT has developed a fully automated robotic system that significantly accelerates the performance analysis and testing speed of new semiconductor materials, capable of completing over 3,000 optoelectronic conductivity tests in 24 hours, with each test taking less than 30 seconds [1] - Figure's CEO Brett Adcock announced that the cost of their humanoid robots has been reduced by approximately 90%, with plans to produce 100,000 units annually within four years, aiming for global distribution of hundreds of millions of units [2][4] - Shenzhen Xingcan Intelligent Robot Co., Ltd. recently completed a multi-million angel round financing, focusing on autonomous driving and embodied intelligence technology, with plans to become a global leader in household smart robots [6] - Beijing Xiaoyu Intelligent Manufacturing Technology Co., Ltd. completed a billion-level A+ round financing, with Didi leading the investment, aiming to enhance technology sharing and expand into new markets [7][9] Group 2 - The National Speed Skating Hall has established a humanoid robot training base, marking a new phase in preparation for the 2025 World Humanoid Robot Games, with eight teams participating in initial training [10][12]

机器人大讲堂获悉，智能陪伴机器人研发商「英格玛机器人」近日成功完成天使轮数千万融资。 本轮融资由 新东方行知资本联合领投 ，所筹资金将主要用于 英 格玛机器人及多模态综合模型的相关研发。 图片来源：英格玛机器人 据机器人大讲堂了解， 英格玛机器人 （全称： 英格玛机器人科技（北京）有限公司 ）成立于 2023年 。 公司致力于研发与推广智能机器人、多模态综合模型及 其应用，以算法及软件为核心，紧密结合硬件产品形成生态闭环。 在核心团队方面 ， 英格玛机器人汇集了来自海内外的机器人、人机交互、人工智能等方面人才。 CTO袁明星为南开大学人工智能学院博士后，主要研究方向包括 机器人操作、协作智能、人机交互。产品总监高高为麻省大学计算机科学与技术硕士，主要致力于API理论研究。项目总监张梦玉从美国东北大学数学系毕业，主 要研究方向为大数据产品、线上交互设计及敏捷开发管理。 在产品研发与业务拓展方面 ， 英格玛机器人专注于心理智能机器人的研发。心理智能机器人不仅能提供基础的情感陪伴功能，还能通过数据分析和个性化服务满 足用户及康复机构专业的心理问题康复需求。英格玛机器人旗下的 MokoMoko是一款集成有硬件拟态、视 ...

Core Viewpoint - The article discusses the development of a novel electromagnetic variable stiffness actuator (EMVSA) designed to address the technical challenges in precision grinding and polishing of aerospace components, focusing on the actuator's ability to decouple force and stiffness control, thereby improving processing accuracy and surface quality [2][5][50]. Group 1: Technical Challenges and Innovations - The precision grinding of aerospace components faces significant challenges due to the limitations of traditional rigid and flexible end-effectors, which struggle with contact force fluctuations leading to overcutting or undercutting [1]. - The introduction of variable stiffness actuators (VSA) is highlighted as a potential solution, particularly those based on electromagnetic principles, which offer rapid response and compact structure [1][2]. - Existing electromagnetic actuators face three main limitations: significant nonlinearity in electromagnetic springs, force-stiffness coupling effects, and complex optimization of electromagnetic parameters [1][4]. Group 2: EMVSA Development and Features - The research team from Huazhong University of Science and Technology has developed the EMVSA, which features a dual-module architecture consisting of a Lorentz motor (LM) for force control and an electromagnetic variable stiffness spring (EVSS) for stiffness adjustment [2][6]. - The EMVSA achieves a linear stiffness adjustment within a ±15mm range, effectively decoupling force and stiffness control, which addresses the challenges posed by environmental variations during robotic grinding [2][5]. Group 3: Performance Validation - Experimental results demonstrate that the EMVSA significantly improves control precision, with a 60.49% increase in force control accuracy and a 74.76% enhancement in material removal precision compared to traditional elastic actuators [5][46]. - The EMVSA's average grinding force error was recorded at 0.03324N, with a maximum absolute error of 0.2738N, showcasing its superior performance in precision applications [5][46]. Group 4: Control System and Optimization - The control system for the EMVSA integrates force control and stiffness adjustment, utilizing a nonlinear PI control method to enhance robustness against noise while maintaining rapid response [29][31]. - The team developed an adaptive stiffness estimation method that effectively mitigates noise interference, significantly improving the accuracy of stiffness estimation [32][34]. Group 5: Practical Applications and Future Implications - The EMVSA prototype has been tested in a robotic grinding platform, demonstrating its effectiveness in processing thin-walled variable stiffness components, thus providing an innovative solution for precision robotic machining [43][50]. - The research findings have been published in a leading robotics journal, indicating the potential for further advancements and applications in the field of robotic precision machining [5][50].

Core Insights - The Chinese robotics industry experienced a resurgence in financing activities in June 2025, with 49 financing events, a 14% increase from May's 43 events, although the proportion of undisclosed amounts rose to around 53% [1] - The estimated financing scale for June ranged between 3.4 billion to 7.4 billion yuan, a noticeable contraction from May's range of 5.3 billion to 9.7 billion yuan, indicating a shift in capital focus towards early-stage and smaller projects [1][4] - The financing distribution showed a concentration in early-stage investments, with seed/angel rounds and A rounds accounting for 80% of the total, reflecting sustained innovation momentum in the industry [2] Financing Trends - In June, early-stage investments dominated, with 11 seed/angel rounds and 28 A rounds, marking an increase of 5.6 percentage points from May [2] - The B round maintained 5 events, while the C round saw a significant rebound to 3 events, indicating some growth-stage projects gained capital recognition [2] - The distribution of financing events revealed a "pyramid" structure, contrasting with the previous "dumbbell" pattern, suggesting a strategic shift towards diversified investments [1][2] Sector Performance - The service robotics sector led with 12 financing events, with humanoid and quadruped robots making up 66.7% of these, highlighting strong investor interest [2][4] - Core components saw 11 financing events, with new components accounting for 45.5%, indicating ongoing technological iteration [17] - The industrial robotics sector recorded 9 events, with warehouse logistics applications comprising 44.4%, underscoring the demand for intelligent transformation [2] Notable Companies - "Galaxy General Robotics" completed a financing round of 1.1 billion yuan, led by CATL, with total financing exceeding 2.4 billion yuan within two years of establishment [5][7] - "Chengdu Humanoid Robot Innovation Center" received over 100 million yuan in investment, focusing on core technology breakthroughs and ecosystem development [12][14] - "Benmo Technology" raised several hundred million yuan in B and B+ rounds, emphasizing flexible design and production of motors for emerging demands [18][19] Technological Advancements - Galaxy General Robotics has developed several advanced models, including GraspVLA, GroceryVLA, and TrackVLA, enhancing capabilities in perception, decision-making, and navigation [7][8][10] - Chengdu Humanoid Robot Innovation Center has achieved significant breakthroughs in key technologies, including a multi-modal perception system and a lightweight humanoid robot [14][16] - Benmo Technology has introduced high-precision direct-drive joint modules and a leading open-source wheeled robot platform, enhancing adaptability in complex environments [21]

Group 1 - Amazon's global logistics centers have deployed over 1 million robots, covering 75% of the package processing workflow, with daily handling exceeding 600,000 items at some warehouses [1] - The automation in the logistics industry is accelerating, leading to a significant reduction in traditional labor-intensive jobs while increasing demand for new technology roles such as robot maintenance and system management [1] Group 2 - Junpu Robotics has initiated universal product certification, with its core products, including the G1 robot and A2 humanoid robot, set for mass production [5] - The first pilot production line for humanoid robots covers 2,000 square meters with an expected annual capacity of 1,000 units, aiming for a "robot manufacturing robots" scenario in the future [5] Group 3 - Yingma Robotics has completed a multi-million angel round financing, focusing on the development of intelligent robots in the psychological health sector [6] - The MokoMoko product integrates emotional monitoring and psychological assessment features, catering to the growing demand for professional psychological rehabilitation [6] Group 4 - A team from Jiangnan University has developed a humanoid robot named "Aide," which features 32 degrees of freedom and can lift over 6 kg, aimed at enhancing logistics in smart workshops [7] - The robot has passed initial functional tests for warehouse logistics and will undergo further enhancements in perception and collaboration capabilities [7] Group 5 - Juwei Technology has launched the world's first fully autonomous wheeled quadruped robot, featuring a multi-modal perception system for centimeter-level mapping and millisecond-level path planning [10] - The innovative service model focuses on scenario-based experiences, personalized customization, and full lifecycle services, marking a breakthrough into the consumer market [10]

Core Points - The 6th Annual Conference of China Robotics Society (CCRS2025) will be held from August 1 to 3, 2025, in Changsha, Hunan Province, with the theme "Human-Machine Integration, Intelligent Future" [1][19] - The conference is expected to attract over 3,000 participants, including more than 200 experts and academicians from the robotics and artificial intelligence fields [1][19] - The event will feature keynote speeches, seminars, and discussions on various topics, including industrial robots, service robots, special robots, swarm intelligence, humanoid and bionic robots, and other hot topics [1][19] Event Overview - The conference will be co-hosted by multiple organizations, including the Chinese Mechanical Engineering Society Robotics Branch and the Chinese Automation Society Robotics Professional Committee [19][20] - The event aims to provide a high-level academic exchange platform to promote the high-quality development of China's robotics industry [19][21] Schedule Highlights - The agenda includes various forums such as the High-Level Journal Forum, Youth Scholar Forums, and specialized forums on intelligent robots, industrial robots, service robots, and more [7][8] - Keynote speeches will be delivered by prominent figures in the field, including professors from leading universities and research institutions [13][14] Registration Information - Registration fees are set at 2,500 RMB for non-students and 1,500 RMB for students, with specific requirements for student verification [46] - Participants can register online and are encouraged to complete their registration by July 25, 2025, to secure accommodations at recommended hotels [50][64] Hotel Recommendations - Several hotels have been recommended for attendees, including Changsha Shiboge Grand Hotel and Novotel Changsha International Convention Centre, with special rates available [50][52] - Attendees are advised to book their accommodations early due to limited availability [50][64]

2016年和2020年，诺力接连出手，先后并购了国内领先的智能物流系统集成商无锡中鼎和欧洲知名的物流 自动化解决方案提供商法国Savoye。 这两次关键并购，补全了诺力智能物流帝国的核心拼图，使其一跃成为 具备从智能叉车到大型智能物流集成系统全链条解决方案能力的全球化企业。 2024年，诺力股份的营收规模 已逼近70亿元人民币，其传统的叉车制造业务与高速增长的智能物流系统集成业务形成了"双轮驱动"、平分 秋色的均衡格局。 更值得关注的是，诺力股份子公司中鼎智能已于今年 5月9日正式向香港联交所递交上市申请，标志着公司智 能物流业务的发展进入了新的资本赋能阶段。 从数据来看，诺力的智能物流技术早已走出实验室，在全球范 围内完成了超过2000个物流系统工程案例 ，服务的客户名单星光熠熠，包括LG化学、宁德时代、国药集团 等横跨多领域的行业巨头。诺力的重载无人搬运车在钢铁、医药、食品、铜箔等高要求行业稳定运行多年，经 受住了复杂严苛工业环境的考验。随着技术的持续进步，诺力智能化无人叉车的竞争力日益增强，正不断渗透 到更广阔、更通用的市场场景中，展现出强劲的市场潜力。 ▍ 黄金赛道上的三重困境与技术野望 近期，国内仓 ...

Core Viewpoint - The article highlights the recent completion of a nearly 500 million yuan Series A financing round by "Star Motion Era," a developer of embodied intelligence and general humanoid robot technology, aimed at advancing humanoid robot technology and production [1] Group 1: Financing and Investment - The financing round was led by Dinghui VGC and Haier Capital, with participation from several well-known financial institutions and industry capital [1] - The funds will primarily be used to enhance the research and development of humanoid robot technology and to accelerate the "model-body-scene data" closed-loop operation [1] Group 2: Company Background - Star Motion Era, established in August 2023, is the only embodied intelligence company owned by Tsinghua University [1] - The company focuses on the frontier applications of general artificial intelligence (AGI) and aims to create humanoid robots that can empower various industries and households [1] Group 3: Core Team - The founder, Professor Chen Jianyu, has over ten years of experience in robotics and AI research, with numerous publications in top international conferences and journals [2] - The core team comprises members from prestigious institutions such as Tsinghua University, Peking University, and UC Berkeley, with over 80% of the team dedicated to research and development [4] Group 4: Product Development and Technology - Star Motion Era employs first-principles to address learning efficiency and task execution capabilities of robots [5] - The company has developed an "end-to-end embodied large model + self-developed humanoid body + full-body dexterous operation" triangular closed-loop system [5] Group 5: Technological Innovations - The company aims to enhance robots' environmental perception and autonomous decision-making capabilities, with breakthroughs in visual language action (VLA) models [7] - The ERA-42 model integrates visual perception, semantic understanding, and action prediction, capable of performing over a hundred tasks through voice commands [9] Group 6: Product Offerings and Market Presence - Star Motion Era has developed the Q5 wheeled humanoid robot, sharing core components with the STAR1 model to reduce development costs [11] - The company has established partnerships with leading firms like Haier Smart Home and Lenovo, particularly in logistics and retail service sectors [11]