1、 武汉出台人形机器人产业新政 近日，武汉市召开推动科技创新与产业创新融合发展系列新闻发布会，会上发布《武汉市加快人形机器人 产业发展行动方案（2025—2027年）》《武汉市加快人形机器人产业发展的若干政策措施》，加快打造全 国人形机器人专用传感示范地、场景应用优选地、智能制造集聚地。武汉已建成国内规模最大、场景最丰 富、机器人款式最多的创新中心，未来将让它发挥更大磁力。同时，还要建设概念验证、中试和共享制造 平台，最高支持1000万元。对大模型研发和算力使用分别最高补贴500万元，对数据集建设最高奖励200 万元。 2、 成都今日启动首批智能机器人实景验证活动 今日成都市首批智能机器人实景验证活动正式启动，10 家人工智能与机器人企业携丰富多样的机器人产 品走出实验室，深入交通指挥、智慧教育、文旅服务、治安巡逻、安全指引等五大领域的真实场景，进行 实地检验与优化迭代。成都市机器人产业协会秘书长李俊杰表示，场景对于机器人产业创新发展来说非常 重要，成都支持机器人产业发展，提供实景验证场景，并以开放姿态欢迎来自全国甚至全球的机器人企业 来蓉进行场景验证，让机器人产品更好地服务人们的生活。 4、 智在无界完成 ...

6月14日，"2025年第二届中关村具身智能机器人应用大赛"正式拉开帷幕。本次大赛以"具身引智、应用未来"为主题，由北京市科委中关村管委会、北京市经信 局指导，中关村科学城管委会主办，将在接下来的五个月时间内，持续汇聚全球顶尖科技成果与产业项目，推动具身智能技术迭代与产业融合。 中关村科学城管委会副主任、海淀区副区长唐超宣布大赛启动，介绍了大赛主题、赛程、专家委员会、奖项设置、配套政策等基本情况，并全面阐述了大赛的背 景、目标与亮点，为这场科技盛宴奠定了坚实基调。 作为全国科技创新高地，北京市海淀区始终以推动科技进步为己任。回溯 2024年首届赛事，101支海内外团队竞逐前沿技术，一批商业应用场景落地生根，为产 业发展积淀了宝贵经验。时值"十四五"收官与"十五五"开局的历史交汇点，海淀具身智能产业发展的生态活跃、要素齐全、前景广阔，本届大赛顺应人工智能技术 爆发式增长的时代浪潮，呼应具身智能行业对场景落地的迫切需求，再度锚定"以赛促产"的战略路径，通过赛事激发技术创新突破，促进产学研深度融合，打造标 杆性场景，旨在构筑具身智能领域的创新策源地与产业制高点，提升海淀区在具身智能领域的领先地位。 场景应用是具身智 ...

Core Viewpoint - The article highlights the debut of Tesla Bot at the 2025 Hangzhou International Humanoid Robot and Robotics Technology Expo, showcasing advancements in humanoid robotics and the participation of over 200 leading companies in the industry [1][3][5]. Group 1: Event Overview - The expo will take place from June 20 to June 22, 2025, at the Hangzhou Grand Convention and Exhibition Center, featuring a combination of forums, exhibitions, and interactive experiences [1]. - The event is organized by the Zhejiang Robot Industry Development Association and aims to present cutting-edge humanoid robot technologies and future living scenarios [1]. Group 2: Key Exhibitors and Technologies - Notable exhibitors include Alibaba Cloud, Hangzhou Six Little Dragons, and various other leading companies, showcasing technologies such as embodied intelligence, multimodal interaction, and brain-computer interfaces [5]. - The expo will cover the entire industry chain, including complete robots, key components, and application scenarios [5]. Group 3: Forums and Networking Opportunities - The event will host several forums, including the Hangzhou Humanoid Robot Conference focusing on industry trends and policy analysis, and a connection conference aimed at fostering business cooperation and technology commercialization [9][10]. - A dedicated forum for investment and technology innovation in the humanoid robotics sector will also take place, providing opportunities to explore new investment avenues [10]. Group 4: Interactive Experiences - The expo will feature interactive activities, including a talent show and educational events aimed at engaging families and promoting technology awareness [11][13]. - Attendees will have the chance to win limited gifts through participation in interactive sessions [11].

根据《 2025 人形机器人与具身智能产业 研究报告》数据显示， 2025 年中国具身智能市场规模预计达 52.95 亿元，占全球份额约 27% ；人形机器人市场规模更有望突破 82.39 亿元，占据全球半壁江山 。 中国 在 人形机器人 领域正在积极布局， 2025 年 已有超 100 家相关企业，融资总额超过百亿元 ，量产有望突破 万台 。其中， 工业、服务 等细分赛道成为资本追逐的热点。 在热潮下，解决人形机器人的一个个问题仍是产业迈向发展 "深水区"的关键。 ▍ 热点下的新问题 虽然部分人形机器人出货量已经千台，但有投资人指出， 人形机器人的这一阶段的爆单，很大程度上并非场 景真实需求的体现 ，本质上是热钱叠加政策带来的泡沫，目前产业对人形机器人和具身智能的心态还是 fomo （错失焦虑）。当客户采购后真的尝试把机器人耦合进场景，可能会发现和当初的设想完全不一样，这时候就 一定会有泡沫和滤镜的破碎，会带来一波产能的过剩和闲置， 返修比例就成为 厂商 极大的拖累，对于硬件和 质量 、 供应链管理的考验 会加大 ， 因为 新技术从产生到具备普适性都逃不过 Gartner 的技术成熟曲线路 径，泡沫是产业实 ...

Core Viewpoint - The development of the F-TAC Hand represents a significant advancement in tactile embodied intelligence, addressing the limitations of existing robotic hands in dynamic environments and enhancing their adaptability and performance in complex tasks [2][6][39]. Group 1: Technological Innovations - The F-TAC Hand integrates 17 high-resolution tactile sensors with a spatial resolution of 0.1 mm, covering 70% of its surface area, achieving near-biological tactile perception while maintaining natural hand movement characteristics [3][12]. - A novel humanoid hand-type generation algorithm has been developed to efficiently process high-dimensional tactile data, creating a complete closed-loop tactile control system that addresses key technical challenges in multi-modal perception and motion coordination [3][6]. Group 2: Performance Validation - The F-TAC Hand demonstrated superior adaptability in dynamic real-world conditions, outperforming traditional non-tactile solutions in 600 multi-object grasping experiments, particularly in environments with noise and dynamic interference (p<0.0001) [5][32]. - The system successfully completed the Kapandji test, achieving all 10 specific contact points between the thumb and other fingers, and executed 33 typical human grasp types, showcasing its high flexibility [33][35]. Group 3: Practical Applications - The F-TAC Hand's design combines high degrees of freedom with extensive tactile coverage, breaking through traditional limitations in robotic hand design, making it suitable for applications in prosthetics, teleoperation systems, collaborative robots, and human-robot interaction [39][45]. - The innovative modular design of the tactile sensors allows for effective integration into the hand structure, enhancing the system's practicality and usability in real-world scenarios [39][42].

Core Viewpoint - 留形科技 has completed a multi-million yuan Pre-A round of financing, which will be used for core component customization, product scaling, and market expansion [1]. Company Overview - 留形科技, established in 2022, focuses on innovative technologies in intelligent 3D perception and reconstruction, aiming to integrate these technologies into fields such as robot navigation, digital twins, construction surveying, and industrial inspection [1]. - The founding team includes experts from top universities, with a high percentage of members holding master's and doctoral degrees [1]. Product Development - The core product, 留形Odin1, is the world's first module that combines spatial perception and memory functions, enabling robots to accurately perceive and remember their surroundings [3]. - 留形Odin1 features a self-developed all-solid-state, multi-sensor deep fusion architecture and high-performance algorithms, allowing efficient synchronization and precise matching of multi-sensor data [3]. Performance and Features - 留形Odin1 has an impressive detection range of up to 70 meters and is supported by the MindCloud platform for high-fidelity 3D simulation and data management [5]. - The product aims to help robots understand and remember their environment for autonomous path planning and spatial learning [5]. Market Strategy - 留形科技 has established deep collaborations with leading robot manufacturers and plans to mass-produce 留形Odin1 by July 2025, with intentions to expand its market presence in construction surveying, industrial inspection, and robot navigation [7].

Core Viewpoint - The article highlights the inherent risks associated with humanoid robots, particularly their physical instability and safety challenges when interacting with humans in various environments [2][3][4]. Group 1: Safety Challenges - Humanoid robots like Digit face significant safety risks due to their human-like form, which can lead to physical instability and potential accidents [2]. - In the event of a technical failure, humanoid robots pose a danger not only to themselves but also to nearby humans, especially in sensitive areas where human interaction occurs [3]. - The dynamic performance of humanoid robots necessitates a reevaluation of safety strategies as they become more capable and human-like [4]. Group 2: Emotional and Psychological Risks - Beyond physical risks, humanoid robots may create psychological challenges, particularly for vulnerable groups such as the elderly and children, if they fail to provide a sense of safety [10]. - The tendency for humans to anthropomorphize robots can lead to overestimating their capabilities and underestimating their risks, creating a gap between user expectations and actual performance [12]. - The mismatch between a robot's appearance and its functionality can lead to disappointment and mistrust among users, especially in caregiving scenarios [10][12]. Group 3: Regulatory and Standardization Needs - There is a pressing need for new safety standards and protocols to govern the deployment of humanoid robots in sensitive environments like healthcare and elder care [12][16]. - Experts suggest that humanoid robots should be classified based on their capabilities and intended use rather than their human-like appearance, to better manage safety expectations [15]. - The establishment of universal safety standards is crucial for the healthy development of the humanoid robotics industry, despite the challenges in creating such standards [16][18]. Group 4: Future Directions - The article emphasizes the importance of iterative testing and gradual integration of humanoid robots into real-world environments to identify common characteristics and safety protocols [13]. - Companies are encouraged to innovate safety mechanisms, such as implementing smoother shutdown processes to prevent accidents during emergencies [15]. - The overarching goal is to create a clear and reliable safety framework that can adapt to various scenarios while ensuring public trust in humanoid robots [22].

Core Viewpoint - The research from the Cambridge University team presents a novel approach to robotic tactile sensing using a gelatin-based hydrogel, which functions as a giant sensor with 1.72 million information channels, eliminating the need for multiple sensors [1][19]. Group 1: Research Methodology - The hydrogel is designed as a continuous sensing field, with only 32 electrodes placed at the edges, allowing for the monitoring of 863,040 different current paths through electrical impedance tomography (EIT) [2][6]. - The system can simultaneously identify six types of stimuli: human touch, contact with conductive objects, pressure from insulating objects, localized heating, damage, and multi-point touch [2][6]. Group 2: Performance and Accuracy - A complete robotic hand made of hydrogel was created, achieving a positioning accuracy of 25mm even at the fingertips, which are far from the electrodes [3][19]. - The system demonstrated an average positioning error of 24.7mm during tests with 1,080 random touch points, and using only the ten optimal configurations, the error could be controlled within 40mm [18]. Group 3: Data Processing and Analysis - The research team utilized a data-driven configuration selection method, achieving a frame rate of 33kHz when monitoring specific configurations, compared to 0.02Hz when monitoring all channels [10][17]. - Principal Component Analysis (PCA) was employed to generate "fingerprint maps" for each stimulus type, indicating distinct electrical field change patterns for different stimuli [12]. Group 4: Material and Design Innovations - The study highlights the limitations of traditional electronic skin, such as complex manufacturing and susceptibility to damage, and proposes a simpler design paradigm that enhances robustness through information redundancy [19][20]. - The manufacturing process for the hydrogel hand involved 3D printing and molding techniques, demonstrating the feasibility of creating complex 3D shapes for tactile sensing [14].

Core Viewpoint - Cornell University's scientists have developed a soft robot designed to inject substances into plant leaves, significantly improving the precision and reducing damage compared to traditional methods [1][2][12]. Group 1: Challenges in Plant Injection - Traditional methods for injecting substances into plant leaves are inefficient and often cause significant damage, with injury rates reaching up to 113.8% [6][7]. - The leaf's defense mechanisms, such as small stomatal openings and hydrophobic surfaces, complicate the injection process [6][5]. Group 2: Soft Robot Design - The soft robot features a sandglass-shaped actuator that generates substantial force while minimizing lateral expansion, allowing for effective injection without causing excessive movement [10][11]. - The robot can exert a force of 168.47 ± 5.34 Newtons (approximately equivalent to 17 kg) and can extend 43.55 ± 3.1 mm, showcasing impressive performance in the field of soft actuators [11]. Group 3: Injection Method and Success Rate - The "stamping" injection method allows for a gentle application of liquid into the leaf, achieving an injection success rate of over 91% and significantly reducing damage to the plant [11][12]. - The injection area is 12 times larger than traditional methods, with damage rates as low as 3.6% for sunflower leaves and zero damage for cotton leaves [11][12]. Group 4: Innovative Applications - The AquaDust nanosensor can be injected into leaves to monitor water levels in real-time, providing a non-destructive method for assessing plant hydration [16][17]. - Genetic modification using Agrobacterium can be performed by injecting genes into leaves, allowing for visual tracking of gene expression through color changes [16][17]. Group 5: Future Implications for Agriculture - The research opens new avenues for soft robotics in agriculture, enabling precise care for individual plants and potentially revolutionizing agricultural practices [20][21]. - The cost of the device is approximately $155, which could decrease significantly with mass production, making it accessible for agricultural applications [20].

据 Mordor Intelligence 数据， 2021-2024年全球割草机器人市场规模从15亿增至 26亿美元，行业复合 增长20%。 Fortune Business Insights进一步预测，到2028年割草机器人市场规模将增长至40.4亿美 元。 草坪作为欧美家庭重要的户外空间，不仅是彰显社会地位的标志性元素，更是社区社交生活的重要载体。据统 计，目前全球私人花园数量已达2.5亿个，其中欧美地区占据绝对主导地位—— 美国约1亿个，欧洲超过 8000万个，两大区域合计占比高达全球总量的72%。 近年来，随着欧美各国环保法规日趋严格和社区景观标准的提升，家庭草坪养护需求呈现持续增长态势。然而 值得注意的是， 智能割草机器人在这一广阔市场的渗透率仍处于较低水平： 北美市场渗透率尚不足6%，即 便是智能化程度较高的欧洲市场，渗透率也仅维持在10%-30%区间。这一现状与快速增长的草坪养护需求 形成了鲜明对比，折射出巨大的市场发展潜力。 ▍三重领先优势，重新 定义割草机器人感知新标准 面对这一 快速成长的市场， 九号、库犸、科沃斯、石头等知名机器人厂商纷纷加大投入， 奋力角逐智能割 草机器人市场，但 在 ...