Core Viewpoint - Shanghai Aoyi Information Technology Co., Ltd. has successfully completed a strategic financing round of over 100 million yuan, marking its third financing of this scale within the year, indicating strong market recognition of its innovation in embodied intelligence and brain-machine interface fields [1][12]. Group 1: Company Overview - Founded in 2015, Aoyi Technology has established a comprehensive technology research and development system covering robotics, neural interfaces, and artificial intelligence, with a focus on the intersection of embodied intelligence and neural interface technology [2][4]. - The company has built a complete capability for self-research and production of core components, achieving a full-chain layout from research and development to mass production, with its core product, the dexterous hand, ranking among the top in the domestic market [2][4]. Group 2: Product Development - Aoyi Technology has developed a three-in-one self-research platform focusing on neural interfaces, robotics, and AI algorithms, successfully overcoming the "cost + system parameters + system stability" challenges in the dexterous hand industry [4][5]. - The ROHand series of dexterous hands has been commercialized, with the ROH-AP001 model featuring high integration design and industrial-grade bionic structure, capable of sensing minute pressure changes and adaptable to various application scenarios [4][5]. Group 3: Market Position and Trends - The dexterous hand industry is experiencing explosive growth, with a significant market potential for humanoid robots that can handle multiple tasks, indicating a shift towards multifunctional robots [8]. - The global market for embodied robots is expected to exceed 100 billion USD by 2030, with urgent domestic demand for localization of core components like dexterous hands [8][12]. Group 4: Strategic Partnerships - The recent investment from Redick, a comprehensive bearing manufacturing company, is a strategic move for both companies to explore collaborative innovation in high-end equipment and intelligent interaction [10]. - Aoyi Technology aims to leverage Redick's resources to enhance its leading position in end-effectors and become a key supplier of core components for global embodied robots [10][12]. Group 5: Future Plans - The funds from the latest financing will primarily be used for upgrading mass production capabilities, full-scenario technology research and development, and global market expansion [12]. - Aoyi Technology is expected to further increase its market share in the domestic dexterous hand localization wave, contributing to the high-quality development of the domestic embodied robot industry [12].

岁序更新，征程再启。在具身智能浪潮奔涌、机器人产业迈向全面升级的 2025 年，我们比任何时候都更需要 灯塔，更需要 领军力量 。 谁是穿越技术周期、引领产业方向的中流砥柱？谁在定义市场格局、开拓全球边疆的商业战场？谁，又能代表 " 中国智造 " 在机器人产业链领域的最强音？ 作为中国机器人领域一年一度的权威盘点与风向标， 2025 年第六届 LeadeRobot 中国机器人行业评选的帷 幕于11月15日正式拉开，奖项申报通道全面开启！寻找中国机器人产业的领军者！ ▍ 我们为何设计这些奖项？ 2025 年被视为人形机器人的量产元年， 行业正从技术演示迈向商业落地的临界点 ， 人形机器人与具身智能 行业正进入 1-N 的快速 发展阶段 ，全球超过一半的人形机器人与具身智能公司位于中国。 中国作为全球最大的工业机器人应用市场，产业规模持续稳步增长，前三季度工业机器人产量达 59.5 万 台，已超过 2024 年全年产量。我国的工业机器人已在汽车、电子、冶金、轻工、石化、医药等 52 个行业大 类、 143 个行业中类广泛应用，正在成为全方位赋能千行百业、助力生产生活和社会治理等各领域提质增效 的重要驱动力。 服务 ...

Core Viewpoint - The article highlights the launch of the EX-1 intelligent bionic quadruped explosion-proof robot by Galileo (Tianjin) Technology Co., Ltd., which addresses critical pain points in high-risk industries by providing safety, all-terrain adaptability, and intelligent operation capabilities [1][3][5]. Industry Pain Points - High-risk industries face significant challenges in safety inspections and emergency responses due to extreme environments that require high explosion-proof performance, excellent terrain adaptability, and real operational capabilities [4]. - The lack of products that meet these stringent requirements has led to continued reliance on human operations, posing safety risks [4][5]. Product Features and Capabilities - The EX-1 robot is designed with four core advantages: explosion-proof safety, all-terrain adaptability, intelligent operation, and modular expansion [7]. - It adheres to national explosion-proof standards (GB3836 series) and achieves a high-level explosion-proof standard (Ex IIB T4 Gb) and IP66 protection, allowing it to operate safely in hazardous environments [8][9]. - The robot features 12 motors for flexible movement, enabling it to navigate complex terrains and handle water depths of up to 45 centimeters [9]. - It incorporates AI technology for enhanced operational efficiency, with capabilities for real-time path planning, obstacle avoidance, and a load capacity of 30 kilograms [9][11]. Strategic Positioning - Galileo aims to build a comprehensive "air-ground-space" integrated digital ecosystem, with the EX-1 being a key component of this strategy [12][14]. - The robot can work in conjunction with other self-developed products, such as radar and drones, to provide a cohesive operational framework for high-risk industries [14][16]. Future Outlook - The launch of the EX-1 signifies a step towards the modernization and intelligent upgrade of emergency management equipment in China, with a focus on meeting the growing demand for smarter, more flexible, and safer solutions in high-risk environments [17].

Core Viewpoint - The 2025 Intelligent Robot Competition aims to promote the large-scale application and industrialization of intelligent robots, showcasing innovative solutions and driving high-quality development in the industry [2][15]. Group 1: Competition Overview - The competition, themed "Leading Technology, Innovating the Future," successfully concluded its preliminary round on November 27, 2023, in Changping District, Beijing [2]. - Over 100 innovative teams participated, presenting cutting-edge achievements in the field of intelligent robotics [2]. - The competition is organized by the China Software Testing Center and Beijing Future Science City Development Group, featuring four main tracks: manufacturing, rehabilitation and elderly care, safety and emergency, and innovation [2][14]. Group 2: Manufacturing Track - The manufacturing track focuses on the capabilities of industrial robots in high-precision tasks, multi-functional processing, and adaptive flexible production [4]. - Teams presented technical architectures and algorithms for high-speed, high-precision motion control, demonstrating the robots' abilities in precise assembly and dynamic obstacle avoidance [4]. - Eight teams advanced to the finals from this track, with discussions on the practical application potential and cost control of the presented products [4]. Group 3: Rehabilitation and Elderly Care Track - This track emphasizes the application of intelligent robots in rehabilitation assistance, health management, and emotional companionship [6]. - Teams explored various applications, including lower limb training, navigation for the visually impaired, and flexible exoskeletons, showcasing the diverse practical value of rehabilitation robots [6]. - A total of 25 teams progressed to the finals, with evaluations focusing on safety, ease of use, and adaptability to diverse needs [6]. Group 4: Safety and Emergency Track - The safety and emergency track highlighted the reliability of mechanical designs in extreme environments, showcasing innovative solutions for various scenarios [8][9]. - Teams demonstrated capabilities in environmental perception, autonomous navigation, and complex task execution, with 12 teams advancing to the finals [9]. - Expert evaluations focused on the adaptability of products to multiple scenarios and their practical value in replacing human labor [9]. Group 5: Innovation Track - The innovation track featured a variety of robot forms, including humanoid, flying, and crawling robots, with many teams presenting unique products [12]. - Teams articulated their technical development logic and showcased impressive physical demonstrations, emphasizing cross-disciplinary innovation [12]. - A total of 27 teams advanced to the finals from this track, highlighting the vibrant innovation landscape in robotics [12]. Group 6: Future Prospects - The finals will take place on December 8-9, 2023, where teams will compete in real task scenarios [14]. - Winning teams will share a prize pool of 1.3 million yuan and benefit from supportive policies in Changping District, facilitating project acceleration and industrialization [14]. - The competition serves as a platform for technology exchange and results transformation, aiming to shorten the cycle from laboratory results to industrial application [15].

在科幻电影中，手术机器人总能精准无误地完成各种复杂操作。然而在现实中，要让机器人实现如此稳定可靠 的精巧操作，却一直是科学家们攻坚的难题。 传统解决方案依赖于复杂的电子力传感器和算法，但这带来了成本高昂、在狭小或特殊环境中可靠性不足等问 题。 有没有一种更简洁的解决思路？ 近日， 浙江大学航空航天学院交叉力学中心杨卫院士、李铁风教授、杨栩旭研究员团队与浙江大学医学院附 属邵逸夫医院蔡秀军院士团队 协作，联合多个学科交叉研究 一项研究成果，作为 封面文章登上国际顶刊《 Nature 》 。 研究团队从 "系鞋带"这个日常动作中汲取灵感，开发了一种基于滑结的机械智能传动机制。创 新性提出 "Sliputure"——活结智能缝线， 成功将其应用于外科缝合，并有望指导其他机器人和智能结构设 计。 这项技术无需任何电子传感器和复杂程序，就能让 机器 人与 医生以 95.4%的超高一致性 传递 和感知力度 ，仿佛被赋予了与生俱来的肌肉记忆。 临床实验表明， 此项技术能让初级外科医生的手术打结力精度飙升 121% ， 比 肩资深医学专家。 这究竟是如何做到的？又将为机器人领域带来怎样的革命？ ▍ 横在 机器人 面前的一座大 ...

跨学科的合作与探索,确保技术应用 的安全性与可持续性。在这个生态系 统中，政府、科研机构、企业和公众 都应积极参与，共同探讨利用具身智 能技术推动社会进步。 在这一时代，具身智能（Embodied Intelligence ） 从 "算 法 驱 动 " 向 "物理交互驱动"进行跃迁，标志着 我们正在迈入一个人与机器深度融合 的新阶段――人机共生成为关键。人 类与智能系统之间的合作关系不仅能 够提升生产力，还能在各个领域创造 新的价值。以机器人为代表的具身智 能系统,能在家庭、制造、特种等行 业辅助人类完成复杂任务，并帮助人 类作出更明智的决策。人类则以其独 特的情感和创造力，推动智能技术的 快速发展。 构建一个健全的人机共生生态,需要 分论坛主题 具身智能时代，人机共生生态 组织机构 艺五五十 エリ宇 | 山 香港科技大学 (广州) 协办单位 香港科技大学（广州）系统枢纽、信息枢纽 分论坛时间 2025年12月8日 (周一) 9:00-17:00 分论坛地点 广东省广州市南沙区 南沙国际会展中心·香港厅A 分论坛议程 开幕式 09:00-09:20 揭牌仪式 09:20-09:30 主旨报告 09:30-10 ...

深夜的美国工厂里，可能没有一盏灯为工人亮起，却会有上千台智能机器人在流水线上精准起舞。 它们能识别数万种不同形状的零件，自主规划运动路径，在动态环境中快速调整决策，从物料调度到成品检 测，全程无需人类插手。 这是富士康与谷歌母公司 Alphabet 旗下 AI 机器人公司 Intrinsic 联手打造的黑灯工厂雏形。 近日 ， Intrinsic 正式宣布与富士康母公司鸿海精密集团成立战略合资企业 ，计划在美国工厂全面部署新一 代智能机器人系统。 这则消息一出，立刻在制造业和科技圈引发地震。两大巨头的联手，让更多人愿意相信，当全球制造业巨头遇 上谷歌系 AI 王牌，这场酝酿近两年的战略合作，不仅是富士康希望重塑自我的新基因，更试图掀起一场席卷 全球的产业革命！ ▍ 解码合作： 富士康的 "机器人工厂战略" 很多人可能会问， Intrinsic 到底是什么来头？能让富士康如此重视？ 这家看似低调的公司，背景却相当硬核。 它是 Alphabet "登月计划"（Moonshot Factory）孵化的明星企业 ，专注于打造机器人领域的 "安卓系 统"，2021 年实现独立运营后，就一直致力于攻克工业机器人的核心痛点 ...

Group 1: Company Developments - UBTECH Robotics secured a contract worth 143 million yuan for a humanoid robot data collection and training center project in Jiujiang, Jiangxi, further solidifying its leading position in the industrial humanoid robot application field [1][3] - Kangping Technology announced plans to acquire 51% of Suzhou Lingchen Collection Computer Co., Ltd. for 264 million yuan, aiming to enhance its capabilities in the industrial robot sector through integration of technologies [7][9] - Apptronik completed a strategic financing round of 331 million USD, raising its valuation to 5 billion USD, with funds directed towards accelerating the production and commercialization of its Apollo humanoid robot [10][12] Group 2: Industry Insights - The National Development and Reform Commission addressed concerns regarding a "bubble" in the humanoid robot sector, emphasizing the need for a balance between speed and sustainability in the industry, with over 150 companies currently involved [4][6] - A company in Hubei province purchased insurance for two humanoid robots, marking the first instance of "embodied intelligent robot body loss insurance" in the region, indicating a growing risk management framework in the robotics industry [13][15]

Core Viewpoint - The article introduces the "Zhiyuan Research Room," a live streaming program aimed at providing in-depth content related to robotics, including technical insights, application scenarios, and cutting-edge perspectives. The program will feature industry experts sharing professional knowledge [1]. Group 1: Live Streaming Event Details - The first session will be led by Zhao Xuzuo, a technical director at Tsinghua University's Suzhou Automotive Research Institute, focusing on "Four-Legged Robot Secondary Development Practice" [1]. - The session will cover building a "development environment" and completing basic programming actions, offering a comprehensive entry-level sharing experience [1][5]. Group 2: Benefits of Participation - Participants will gain beginner-friendly knowledge of ROS development from scratch, including hands-on guidance for setting up the development environment and integrating ROS2 with SDK [7]. - The session will include practical case studies on four-legged robots and opportunities for face-to-face interaction with industry experts [8]. Group 3: Additional Incentives - Registrants will receive exclusive course materials on "Four-Legged Robot Secondary Development" and have a chance to win a signed figurine from a prominent industry figure during a live draw [10]. - After the live session, all core content will be sent via email for easy access and use [10].

Core Viewpoint - The article highlights the significant advancements and investment activities in the field of tactile perception technology, particularly by the leading company, Tashan Technology, which has successfully completed two rounds of financing to enhance its core technology capabilities in this domain [1][2]. Investment and Financing - Tashan Technology has recently completed two rounds of financing in the third quarter, attracting investments from 13 firms, including CITIC Jinshi Investment and CITIC Securities, with the total financing amount reaching several hundred million yuan [1]. - The funds will primarily focus on the iteration of core tactile perception technologies, aiming to transition from laboratory prototypes to large-scale commercial applications [2]. Industry Bottlenecks and Challenges - The article identifies three major technical bottlenecks in the tactile perception industry: - Signal processing lag: Traditional chip architectures struggle to achieve low-latency and low-power real-time analysis of high-frequency, multi-dimensional tactile signals [5]. - Inefficient data collection: High-quality tactile data collection is costly and lacks standardization, leading to underdeveloped algorithm models [6]. - Insufficient scene adaptation: Laboratory technologies often fail to handle the diverse materials, shapes, and interaction tasks found in real-world environments, resulting in weak generalization capabilities [7][8]. Technological Advancements - Since its establishment in 2017, Tashan Technology has focused on overcoming these challenges by building a top-tier interdisciplinary team and collaborating with the University of Manchester to develop foundational technologies [9]. - The company has successfully addressed core issues such as multi-dimensional perception signal synchronization and has established a comprehensive technology system encompassing AI tactile chips, tactile sensors, algorithm models, and industry solutions, capturing over 80% of the market share in the tactile perception segment [9]. Innovative Products - Tashan Technology has developed the world's first mixed-signal AI tactile chip, which utilizes a distributed spiking neural network architecture to achieve real-time processing of tactile signals with an ultra-high force resolution of 0.01N [11]. - The TS-F fingertip tactile sensor, built on this chip, integrates multi-dimensional capabilities such as three-dimensional force perception, proximity sensing, and material recognition, and has been successfully tested and integrated with products from major dexterous hand manufacturers [13]. Application Scenarios - The tactile perception robots developed by Tashan Technology have achieved significant upgrades, enabling them to autonomously complete tasks such as grabbing and delivering without human assistance, thereby reducing service error rates [14]. - The company is also exploring applications in non-traditional fields, such as a platform for processing crayfish, demonstrating the potential of tactile technology in agricultural automation [16]. Future Directions - Tashan Technology aims to address the industry bottlenecks by enhancing multi-modal integration technology and expanding the training scenario library for robots, focusing on essential applications in precision manufacturing and service interactions [19]. - The recent financing rounds not only reflect the market's recognition of the strategic value of tactile technology but also signify a critical phase in the evolution of embodied intelligence, moving towards refined perception and practical operation capabilities [19].