Core Viewpoint - The article discusses the development of a new type of responsive soft material called "electro-deformable gel" (e-MG) by a research team from the University of Bristol and Imperial College London, which enables wireless and controllable deformation of soft robots through non-contact electric field stimulation, addressing long-standing challenges in wireless drive and precise control of soft robots [1][10]. Group 1: Material and Mechanism - e-MG is composed of a soft elastic matrix, dielectric liquid, and nano-scale carbon materials, where the uniformly dispersed nano-carbon forms a conductive network that facilitates charge migration under an external electric field, crucial for efficient electromechanical conversion [3]. - The research team explored the impact of carbon content on the electrical and mechanical properties of e-MG, identifying optimal material ratios for achieving superior response performance [5]. - The driving mechanism involves the synergistic effect of dielectrophoretic and electrostatic forces under varying electric field conditions, providing a theoretical basis for precise control of deformation behavior [5]. Group 2: System Integration and Performance - The team optimized electrode arrangement and control logic, successfully demonstrating continuous movement, load transportation, and independent control of multiple units of e-MG robots in complex environments, indicating the technology's potential for practical applications [5][6]. - Unlike traditional electromagnetic drive systems that rely on bulky power supplies, e-MG requires only lightweight electrodes to create complex electric fields, significantly reducing system complexity and overall size [6]. - e-MG robots exhibited various biomimetic actions, such as inverted swinging like a gymnast and rapid grabbing like a frog's tongue, while maintaining stable movement across different terrains, showcasing potential applications in industrial inspection, biomedical fields, and space exploration [6][10]. Group 3: Experimental Validation - The research team conducted a series of experiments to validate the high-speed and high-force driving capabilities of e-MG under non-contact electric field stimulation [10]. - In material preparation, e-MG samples with varying carbon black content (0.01–2 wt.%) were created using silicone rubber, dielectric liquids, and nano-carbon black, with carbon black serving as a key component for charge migration [11]. - Performance tests revealed that the e-MG sample with 0.5 wt.% carbon black exhibited the best driving speed and force, with a deformation response speed approximately 27 times faster than samples without carbon black, while maintaining good cycling stability [13].

2025 年的工业车间， " 机器人 " 已不再是单一设备的代名词，一场由 " 移动 + 操作 " 融合驱动的静默革命 正在上演。 9 月，港交所披露优艾智合的招股书递表，虽过去两年 " 机器人概念股 " 赴港排队者已超十家， 但这份文件 却首次将 " 移动操作机器人（ Mobile Manipulator ） " 这一专业术语推向公众视野 。 弗若斯特沙利文的数据显示，该赛道年复合增速超 60% ，背后是工业场景对具身智能的刚性需求， 更将推 动产业规模化步入爆发前夜。 这使得 优艾智合递表的意义，远不止一家企业冲刺资本市场，更在于其招股书让 " 移动操作机器人 " 从产业 概念，成为资本市场与行业关注的焦点。 这份文件援引弗若斯特沙利文的测算，勾勒出该赛道的爆发潜力 。 2024 年全球移动操作机器人解决方案市 场规模仅 92 亿元， 2030 年将飙升至 1569 亿元，年复合增速 60.4% ，占全球具身智能机器人市场的比例 将从 11.2% 升至 42.7% ；中国市场表现更突出， 2024 年规模 34 亿元， 2030 年将达 620 亿元，年复合 增速 62.3% ，占国内具身智能机器人市场比 ...

现在， 来自 瑞士洛桑联邦理工学院（ EPFL） 、美国 杜克大学 等机构 的 研究人员 不仅破解了这个秘密， 还造出了一条能在真实河流中游泳的机器鱼。 昨日 ，这项研究登上了全球机器人领域顶刊 《 Science Robotics》 的封面。 这项研究 模拟了斑马鱼视觉运动行为的神经回路 ， 他们 创建了名为 simZFish的虚拟仿真系统，并最终在 80厘米长的物理机器人ZBot上实现了验证。 更厉害的是，这套系统不仅能在实验室环境下重现斑马鱼的行为，还能在瑞士 Chamberonne河的急流中自 主导航，展现出了从实验室到真实世界的泛化能力。 鱼是怎么在湍急的河流中保持位置不被冲走的？ 这个看似简单的问题，背后涉及极其复杂的神经计算过程。 ▍ 复刻斑马鱼视觉 -运动神经通路 要理解这项研究的突破性，得先了解斑马鱼的 视动反应（ Optomotor Response, OMR） 。 当水流将鱼向后推时，鱼眼中看到的景物会向前移动。鱼的大脑检测到这种视觉运动后，会控制身体向前游动 来补偿位移，从而保持在原地。这个看似简单的行为，实际上涉及复杂的神经计算。 研究团队使用 物理引擎 Webots 构建了 sim ...

为精准传递 2025 年第二届中关村具身智能机器人应用大赛 核心信息，解答参赛者在赛制细节、报名流程及 政策支持方面的疑问，帮助参赛团队高效备赛， 10 月 14 日， 2025 年第二届中关村具身智能机器人应用 大赛 专项宣讲会隆重召开 。本次大赛是继 2024 年中关村仿生机器人大赛成功举办后，承接世界人形机器 人运动会国际成果升级打造的特色赛事，自 7 月 15 日报名通道开启 以来，已吸引全球多地企业、高校及科 研团队踊跃参与。 本次宣讲会汇聚了政府部门、产业园区、金融机构、企业及高校的众多重要嘉宾，共同为大赛赋能。政府领 导、园区负责人、金融机构代表及赛事承办方围绕赛事背景、产业支持、赛制规则等关键内容展开详细解读， 为参赛者搭建起清晰的备赛指引框架。 ▍ 海淀区筑牢产业根基政策资金护航赛事 中关村科学城 管理委员会 产业促进四处副处长郑雪介绍，海淀区作为全国人工智能创新核心区域，已形成深 厚的 具身 智能产业生态：聚集 300 余家创新企业（含 24 家人形机器人整机企业）、 21 所开设相关专业 的院校，及一批顶级科学家，构建 " 大脑、小脑、本体 " 全产业链，并 入选工信部机器人产业中小企业 ...

Group 1: Company Listings and Financing - Yunji Technology officially listed on the Hong Kong Stock Exchange, issuing 6.9 million shares at a price of HKD 95.6 per share, raising approximately HKD 590 million (about RMB 541 million) [3] - Since its establishment in 2014, Yunji Technology has completed 8 rounds of financing, with investors including Alibaba, Tencent, and Lenovo, achieving a post-investment valuation of RMB 4.08 billion in its last round in December 2021 [3] - Suzhou Junyue Robot Co., Ltd. completed a B+ round of financing, with funds aimed at increasing investment in new product development and global market expansion [16] Group 2: Product Launches and Orders - ZhiYuan Robotics launched the new generation industrial interactive robot, ZhiYuan Spirit G2, which has already secured orders worth several hundred million yuan [6] - UBTECH Technology announced a procurement agreement with a well-known automotive technology company for humanoid robots worth RMB 32 million, adding to a previous order of RMB 250 million, bringing the total contract amount for the Walker series to nearly RMB 500 million [9] Group 3: Industry Developments - RoboChallenge, the world's first large-scale physical robot benchmark evaluation platform, was launched to test robots on various tasks, bridging the gap between simulation testing and real-world deployment [12] - The ZhiYuan Spirit G2 is designed with high-performance motion joints and advanced spatial perception systems, supporting rapid learning and deployment across multiple scenarios [6]

Core Insights - The article discusses the development of a bionic robotic fish by Zhejiang University, which addresses the challenges of underwater exploration and monitoring in complex marine environments [1][3]. Innovation and Design - The robotic fish features a novel drive/deformation system based on a structure called "Post-Buckling Notched Plates" (PBNP), which mimics the pectoral fins of manta rays to convert small linear movements into significant fin flapping [5][7]. - The design allows for controlled and efficient deformation, enabling the robotic fish to navigate both narrow spaces and open waters effectively [1][5]. Performance and Modes - The swimming behavior of the robotic fish is controlled by three parameters: vacuum pressure, frequency, and duty cycle, which influence the fin flapping and overall swimming performance [10][12]. - It operates in two modes: "flapping mode" for rapid propulsion and efficient cruising at low frequencies (0-4 Hz), and "oscillation mode" for stable movement in confined spaces at higher frequencies (above 4 Hz) [12][16]. Environmental Adaptability - The robotic fish demonstrates exceptional adaptability to extreme conditions, functioning in temperatures ranging from 0.6°C to 87.2°C, making it suitable for various marine environments [19][20]. - It can seamlessly switch between modes to navigate through different environmental challenges, such as strong currents and narrow gaps [22][24]. Multi-Functionality - A non-tethered version of the robotic fish integrates multiple functions, including propulsion, monitoring, and communication, into a compact design, enhancing its operational reliability [25][27]. - The system can sample water quality in real-time and distribute substances like feed or water treatment agents during operation, transforming the robotic fish into a mobile workstation for aquaculture and environmental monitoring [27][28]. Future Developments - Future research aims to optimize the fish's shape to reduce hydrodynamic drag and enhance its autonomous navigation capabilities through advanced sensor integration [29].

Core Viewpoint - Yuanhua Intelligent has demonstrated the reliability of Chinese medical robots by successfully completing 5,000 clinical surgeries across various hospitals in China, including high-altitude regions, thus addressing global skepticism about China's capability to produce dependable medical devices [1][3][4]. Group 1: Company Overview - Yuanhua Intelligent Technology (Shenzhen) Co., Ltd. was established in 2018, focusing on the innovative research and precision manufacturing of high-end specialized medical equipment [3]. - The company is the only domestic entity with the capability to independently develop all core components of orthopedic surgical robots, covering multiple clinical applications including orthopedics and gastroenterology [3][4]. Group 2: Clinical Performance - The surgical robot, known as Kuan, has shown a 34% improvement in implant accuracy compared to traditional manual surgeries, a 30% reduction in postoperative medication, a 50% decrease in postoperative inflammation, and an 8-degree increase in postoperative joint mobility [6]. - The Kuan robot operates by guiding surgeons through real-time data and dynamic adjustments, ensuring precision even in challenging environments like high altitudes [4][6]. Group 3: Market Expansion and Global Strategy - Yuanhua Intelligent is actively pursuing international markets, having established connections with over 20 medical institutions worldwide and is working towards obtaining EU CE certification for clinical evaluation [8][10]. - The company aims to implement a "technology + training + service" model in Southeast Asia, the Middle East, and Europe, emphasizing the establishment of global trust in medical technology [10].

Core Viewpoint - Cloudwalk Technology (2670.HK) has emerged as a significant player in the robotics service industry, achieving a remarkable opening price increase of 49.37% on its debut, driven by strong market interest and a unique business model focused on hotel services and beyond [1][4][5]. Group 1: Market Logic Behind Subscription - The introduction of the Hong Kong Stock Exchange's 18C rule in 2023 aimed to attract hard-tech companies, but the number of listings has been limited until Cloudwalk's successful debut, which reignited interest in this sector [3]. - Cloudwalk's public offering saw an unprecedented oversubscription of 5657.2 times, with 263,000 retail investors participating, indicating a strong market appetite for innovative tech companies [4][5]. Group 2: Cloudwalk's Business Model and Growth - Cloudwalk has established itself as the only publicly listed company globally that has achieved large-scale commercialization of service robots, particularly in the hotel sector, where it holds a dominant market share of 13.9% [7]. - The company has expanded its service to over 34,000 hotels, completing 500 million service instances annually, showcasing its operational scale and efficiency [11][12]. Group 3: Expansion into New Markets - Cloudwalk is diversifying its business beyond hotels into high-value sectors such as healthcare and manufacturing, with a reported 79.1% increase in new contracts in non-hotel scenarios [15][16]. - The company has also made strides in international markets, with overseas revenue increasing from 8% in 2022 to 15% in 2025, aiming for over 30% in the next three years [16]. Group 4: R&D Investment and Technological Edge - Cloudwalk invests significantly in R&D, with 23.4% of its revenue allocated to this area in 2024, resulting in 985 patents that cover essential technologies in navigation, control, and AI decision-making [17][19]. - The company's proprietary "Service Intelligent Agent Autonomous Closed-Loop Learning System" allows robots to learn from real-world applications, enhancing their operational efficiency [19]. Group 5: Financial Performance and Profitability Outlook - Cloudwalk's revenue has shown a compound annual growth rate of 23.4% from 2022 to 2024, with a notable increase in gross profit margin from 24.3% to 43.5% during the same period [20][22]. - The company aims to achieve breakeven by 2026, with a clear path to profitability supported by a stable hotel business and rapid growth in new sectors [22][23]. Group 6: Investment and Market Confidence - Cloudwalk has raised over 1.2 billion yuan through 11 funding rounds, attracting investments from major players like Tencent, Alibaba, and Ctrip, reflecting strong market confidence in its business model and growth potential [25][26]. - The company's focus on a profitable business model, unlike many peers that rely on heavy losses, positions it favorably in the competitive landscape of service robotics [28][30]. Group 7: Leadership and Vision - Founder Zhi Tao, a notable figure in a male-dominated industry, emphasizes the mission of using robots to alleviate human labor in repetitive tasks, maintaining a long-term focus on commercial applications rather than consumer products [30][31]. - Cloudwalk's listing is seen as a milestone for the Chinese service robotics industry, demonstrating the potential for technology companies to achieve global competitiveness and profitability [31][32].

Core Insights - The article discusses the development of a soft robotic sensor system called PneuGelSight, which integrates visual and tactile sensing capabilities to enhance the performance of soft robots in industrial applications [1][3]. Group 1: PneuGelSight Overview - PneuGelSight is a soft robotic finger that incorporates a camera and lighting system, enabling high-precision proprioception and tactile sensing during grasping tasks [4][6]. - The design features a 3D-printed corrugated structure for easy extension under pneumatic drive, with a thicker silicone layer on the inside to facilitate bending during inflation [4][6]. Group 2: Optical Design and Functionality - The optical sensing structure consists of an embedded camera, a lighting system, and a soft reflective surface, allowing for clear image capture regardless of finger bending [6][10]. - The system uses color variance in reflected light to calculate surface normals and reconstruct the 3D geometry of objects, enhancing the robot's interaction capabilities [10][11]. Group 3: Performance and Testing - The finger measures 110 mm in length and has a semicircular cross-section with a diameter of 55 mm, manufactured using SLA 3D printing technology [7][9]. - Testing showed that the reconstruction accuracy of the 3D point cloud model varied between 2.12 mm and 8.76 mm across different deformation scenarios, with an average of 5.35 mm [16][17]. Group 4: Tactile Sensing Capabilities - Tactile sensing is achieved by detecting changes in the surface normals of the silicone layer when in contact with objects, allowing for high-resolution reconstruction of surface features [19][21]. - The system can detect forces as light as 0.2 N, comparable to lifting a sheet of A4 paper, and can adapt sensitivity by adjusting the silicone hardness [25]. Group 5: Practical Applications - Demonstration experiments involved a soft robotic gripper exploring an avocado, successfully constructing a 3D model of the object through repeated contact and analysis of surface textures [26][27]. - The results indicated a high fidelity in the reconstructed shape and surface texture, showcasing the technology's potential in object recognition and interaction tasks [27].

在未来的月球上，可能会出现一种奇怪的景象 ——一颗硕大的金属球，咕噜咕噜地滚下陨石坑，看起来像个 失控的健身球，但它其实是NASA背后的"新宠"：一台专为极端地形打造的球形探测机器人。 它的名字叫 ——RoboBall。它 既 不是玩具， 也 不是艺术装置，而是一台能自我平衡、能 "滚着下山"、还 能带着传感器执行任务的高智商胖球。 前不久， 来自德州农工大学（ Texas A&M University）的RAD实验室 成功研发了 RoboBall， 并 让这颗 球，重新定义 "月球漫步"的方式。 ▍探月这事，车轮已经不够用了 自从 NASA公布"Artemis"计划，人类就对月球南极蠢蠢欲动——那里可能藏着水冰，也藏着一堆"麻烦"。 月壑深不见底、坡度动辄几十度、尘土软得像面粉。在这种地形里，传统月球车就像开 SUV去冲沙——谁都 知道下去不一定上得来。 于是， RAD实验室决定换个思路：既然车轮搞不定，那不如——让整个机器人变成一个轮子。 听起来像是脑洞，但这正是 RoboBall的魔法： 它是一个充气的球，里面藏着一个摆锤 ， 通过摆锤前后摆动，它能改变重心，重心一偏，球就开始滚 ， 再 加上内部传感器 ...