"真正知道了协作机器人能用在哪，怎么用。"在 2025 年 11 月 28 日 举办的 第二届 " 法奥杯 " 协作机器人 新场景应用大赛 上，参赛队伍接受采访时难掩兴奋。 作为呼应十五五规划 ， 发展新质生产力、培育未来产业战略部署的生动实践，这场 以" AI ・法奥让应用更 简单更智能" 为主题的赛 事，通过场景创新与实践操作双轨考核，完成了协作机器人 拓宽 产业级应用的实战 检阅 ，成为解码中国机器人产业场景化落地的关键窗口。 ▍ 从 " 技术展示 " 到 " 场景攻坚 "真实赛事 如果说首届 " 法奥杯 " 是协作机器人技术的集中亮相，第二届大赛则清晰展现了产业从 " 技术本位 " 到 " 需 求本位 " 的深刻转型。 赛事的定位设计、考核模式与生态搭建，无不 展现着协作机器人的广阔应用落地潜力 "机器人是衡量一个国家科技创新和高端制造业水平的重要标志，更是培育新质生产力、推动产业智能化转型 的核心载体。"工信部装备工业一司负责人此前对机器人产业的定位，精准点出其在高质量发展中的关键价 值。 本届 赛事紧扣政策导向，锚定产业痛点 ， 聚焦 " 十五五 " 规划 " 智能化、绿色化、融合化 " 核心要求 ...

Core Viewpoint - Lumos Robotics has launched a revolutionary product, the FastUMI Pro, which addresses the critical bottleneck in acquiring high-quality, large-scale, multi-modal data essential for the advancement of embodied intelligence [1][21]. Group 1: Product Features - FastUMI Pro features a lightweight design with a total weight of only 600g and a load capacity of up to 2kg, enhancing portability and enabling data collection in any scenario [3][10]. - The system boasts a global leading pure visual positioning technology with an accuracy of up to 3mm, eliminating reliance on heavy laser and fixed base stations [6][17]. - It supports multi-modal data collection, integrating pressure-sensitive and tactile sensors, which allows for comprehensive data capture during operations [8][19]. - FastUMI Pro can quickly adapt to various robots without the need for body replacement, showcasing high compatibility [9]. - The system significantly improves data collection efficiency by three times and reduces costs to one-fifth of traditional solutions, addressing the industry's high-cost and high-barrier challenges [11][21]. Group 2: Ecosystem and Integration - FastUMI Pro is not just a hardware device but a complete ecosystem that provides an end-to-end solution from hardware design to model training, facilitating a seamless data pipeline for researchers [13][21]. - The system includes a real-time pre-processing architecture that allows users to verify data validity during collection, thus preventing ineffective data acquisition [19][20]. - It features a four-eye vision system that enhances environmental feature capture, ensuring stable operation even in challenging lighting and occlusion conditions [19]. Group 3: Market Impact - The introduction of FastUMI Pro marks a significant step for Lumos Robotics in the core infrastructure of embodied intelligence, aiming to lower the barriers for acquiring high-quality data [21]. - The product is positioned to accelerate the scaling process of intelligent systems by enabling global research teams to obtain diverse data at lower costs and higher efficiency [21].

"世界上最美丽华贵之天城 ， 人处其中，自信为置身天堂。 " 这是 13 世纪意大利著名旅行家、商人马可·波罗来到杭州，所发出的感慨。 而如今的杭州，远不止商业繁华、风景秀美，其正从一座商业都市，通过机器人与具身智能的产业生态打造， 站在 全新一轮科技 发展浪潮的潮头。 当 新加坡能源集团（ SP Group ） 的电力隧道里，云深处 " 绝影 X30" 机器人迈着稳健的步伐自主巡检，实时捕捉渗水、裂缝等安全隐患时，外交部发言人林剑 在海外社交平台的一句 " 太酷了 " ，不仅是对这款中国机器狗的点赞，更是对其诞生地 —— 杭州机器人产业生态的高度认可。 与此同时，同属 " 杭州六小龙 " 的宇树科技， 在春晚零点压轴节目后红透华夏 后， 正以 G1\H1 等人形 机器人爆款产品席卷全球市场 ， 并且即将冲击上市 。 从实验室走向实战，从本土走向世界，杭州正以惊人的速度，成为全球机器人创新的 " 梦工厂 " 。 这 座被西湖浸润、被科创赋能的城市，究竟藏着怎样的密码， 能让机器人产业如雨后春笋般蓬勃生长？ 为了深度挖掘机器人行业领军者的技术密码， 第六届中国机器人行业年会 即将在杭州市滨江区举办 ， 我们 希 ...

" 我们正从感知智能迈向行动智能的新纪元。 " 这是斯坦福大学 HAI 联合主任、具身智能领域先驱李飞飞教授所前瞻的下一个机器人时代节点，其认为机器 人的下一个挑战，不是如何看得更准，而是如何根据所见做出正确的决策和行动，而这需要一种全新的、通用 化的 AI 能力框架。 过去数十年，机器人被牢牢禁锢在固定范围之内，执行着精准却单一的重复性任务。如今，源于以大模型为代 表的 AI 技术的突破性进展，全球机器人产业在具身智能等新理念的驱动下，正迎来一个历史性的 " 奇点时刻 (singularity) " ，即从专用到通用的范式转移。 人们开始希望，机器人不再是为特定流水线量身定制的工具，而是一种能够适应复杂、非结构化环境，并执行 多种任务的通用型智能体，或者称其为通用机器人（ General-Purpose Robots ）。 ▍ 机器人如何加速进入 " 通用化 " 临界点？ 机器人想要实现这一宏大的 " 通用化 " 愿景，产业对底层支撑技术提出了前所未有的苛刻要求，四大技术支 柱或许缺一不可。 因为训练一个能够理解千变万化物理世界的机器人通用 " 大脑 " ，需要处理远超以往的视觉、语言和动作数 据。这要求算 ...

Core Insights - The article discusses the breakthrough research by Tsinghua University on an intelligent bionic amphibious turtle robot named "IBATR," which can operate effectively in both water and land environments, showcasing high adaptability and performance [3][20]. Group 1: Innovation and Design - IBATR is designed to mimic the physical and movement characteristics of a turtle, providing excellent stability and propulsion capabilities, making it suitable for complex coastal environments [6][7]. - The robot weighs only 10.48 kg, featuring a flat design with a waterproof cylindrical shell and a carbon fiber skeleton, ensuring both strength and lightweight properties [7][10]. Group 2: Sensory and Control Systems - IBATR incorporates a dual-modal perception system that combines visual and tactile information, allowing it to identify terrain types with an accuracy of 99.17% [11][14]. - The control system includes a Raspberry Pi 4B main controller and a STM32F103C8T6 servo control board, enabling real-time data transmission and motion state awareness [10][18]. Group 3: Adaptive Movement and Optimization - The robot can autonomously switch its movement modes based on terrain recognition, optimizing its locomotion for different surfaces such as grass, sand, and water [14][15]. - A Bayesian optimization algorithm is used to enhance movement parameters, achieving a balance between speed and energy efficiency, with improvements in speed by 9.2% and energy efficiency by 25.9% compared to traditional methods [17][19]. Group 4: Testing and Real-World Applications - Extensive testing in various environments, including indoor simulations and real coastal settings, demonstrated IBATR's ability to navigate complex terrains and switch between land and water seamlessly [18][19]. - The robot has potential applications in marine exploration, environmental monitoring, and disaster response, showcasing its versatility and effectiveness in real-world scenarios [20].

Core Insights - The Phantom MK1 humanoid robot developed by Foundation has received a $10 million procurement order from the U.S. government [1] - The robot is designed for high-risk scenarios, with applications in military logistics and space infrastructure [4][6] - Foundation aims to deliver thousands of these robots for specific tasks within the next 12 to 18 months, with a long-term vision of scaling to millions in the next decade [21] Group 1: Product Specifications and Applications - The Phantom MK1 is made of steel and plastic, standing 1.75 meters tall, weighing 80 kg, with a walking speed of approximately 6.4 km/h, a continuous load capacity of 20 kg, and a maximum operational height of 2.03 meters [3] - The robot is currently being piloted in industrial applications and is in discussions with the U.S. Department of Defense for military tasks such as aircraft maintenance and fuel supply [7][6] - Foundation has already produced about 10 units for industrial use, including applications in automotive manufacturing [6] Group 2: Company Background and Development Timeline - Foundation was established in 2023 by former executives from Synapse and Tribe Capital, along with a former Marine [4] - The company completed the acquisition of Boardwalk Robotics, which allowed for the development of the Phantom MK1 within 13 months from concept to deployment [10][12] - The initial production cost of the robot is around $150,000, with expectations to reduce the price by half as production scales [8] Group 3: Future Projections and Market Outlook - Foundation plans to launch a second-generation product in 2025, aiming for improved performance and simplified manufacturing processes [12] - Industry experts have mixed views on the future of humanoid robots, with predictions ranging from thousands of units in the next few years to millions in the next decade [21] - Challenges remain in terms of technology stability and the robot's ability to perform continuous operations, which Foundation is currently addressing [23] Group 4: Controversies and Ethical Considerations - The potential for weaponization of the Phantom MK1 has raised concerns, although Foundation currently has no plans to arm the robots [15][17] - The urgency of exploring robotic weaponization is increasing globally, with various countries already investigating this area [18] - The U.S. Department of Homeland Security has denied rumors of using the Phantom MK1 for border patrol tasks [20]

在具身智能迈向真实世界应用的关键阶段，大规模、高质量、多平台兼容的机器人操作数据已成为制约技术突 破的核心瓶颈：一方面，双臂操作作为最贴近人类行为的"刚需"形态，正成为行业主流趋势，但受限于高昂的 采集成本与复杂的标注难度，相关数据极度稀缺；另一方面，现有数据集普遍存在真实场景覆盖不足、任务单 一、过度实验室化等问题，且大多仅适配特定或有限种类的机器人本体与构型，缺乏跨平台、跨本体的通用 性。 为破解这一难题，北京智源人工智能研究院牵头，联合 蚂蚁天玑实验室、银河通用、乐聚、软通天擎、松 灵、星海图、智平方、睿尔曼 等产业先锋，以及 清华大学、北京大学、斯坦福、伯克利、剑桥 等海内外顶尖 学 术 力 量 ， 共 同 打 造 并 发 布 了 RoboCOIN （ Bimanual Robotic Data COllection for INtegrated Manipulation） —— 全球"本体数最多、标注最精细、使用最便捷"的高质量双臂机器人真机数据集 。 破局三大挑战：格式混乱、质量参差、使用门槛高 当前具身智能数据正面临 "标准缺失、质控薄弱、工具分散" 三大核心痛点，严重制约行业发展： 为系统性解 ...

Core Viewpoint - The Japanese government is preparing to inherit or restart the unfinished business of Asimo in the humanoid robot field, aiming to develop AI-driven humanoid robots for workplaces and homes by 2030, with a long-term goal of creating multifunctional humanoid robots by 2050 that can perform all human tasks and make independent decisions [1][4]. Group 1: Current Status of Humanoid Robotics in Japan - Despite rumors of Japan exiting the humanoid robot competition after Honda discontinued Asimo, the country's technological strength and research enthusiasm in this field have not diminished [4][6]. - Major Japanese institutions like Toyota Research Institute and Kawasaki Heavy Industries continue to hold patents and advance humanoid robot technology [6]. Group 2: Key Players and Developments - Toyota Research Institute (TRI) has been focusing on humanoid robotics since its establishment in 2015, collaborating with Boston Dynamics to enhance the Atlas robot's autonomous task handling capabilities [7][10]. - The collaboration with Boston Dynamics aims to integrate TRI's large behavior model into Atlas, allowing it to autonomously generate control signals based on various inputs [10][12]. - TMSUK, a representative company in service robots, has developed humanoid robots for various fields, including a dental training robot that simulates children's behavior for training purposes [13][15]. Group 3: Future Plans and Collaborations - TMSUK plans to develop a prototype humanoid robot for disaster response by the end of 2026 in collaboration with several institutions [19]. - Kawasaki Heavy Industries has iterated its Kaleido series of humanoid robots, with the latest models capable of complex tasks and enhanced human interaction features [34][36]. - Murata Manufacturing is also involved in humanoid robotics, with plans to start trials for domestically produced humanoid robots by March 2026 [33]. Group 4: Global Context and Competition - Other countries, such as South Korea, are also advancing in humanoid robotics, with plans to develop commercial humanoid robots by 2028, involving major tech companies [39][41]. - The global landscape for humanoid robotics remains competitive, with no standout companies achieving mass production yet, indicating that the industry is still in its early stages [41][42].

Core Concept - The article discusses a silent revolution in robotics, focusing on the integration of "mechanical metamaterials" to enhance robots' capabilities by allowing them to perceive, react, and adapt autonomously, merging central command with instinctive responses [1][4]. Group 1: Current Challenges in Robotics - Traditional robots operate on a "brain + body" model, where a central processor controls all functions, leading to limitations in flexibility and responsiveness [5][9]. - Current robotic systems are often heavy and rigid, making them unsuitable for delicate tasks that require safe interaction [6][9]. - The reliance on a central brain for every action creates bottlenecks, especially in unpredictable environments where rapid response is crucial [9][10]. Group 2: Mechanical Metamaterials - Mechanical metamaterials are defined as intelligent materials with programmable structures that can directly interpret and execute complex mechanical commands [7][11]. - The design principles of metamaterials include mechanics-inspired architectures, reconfigurable structures, and material-driven functionalities, which collectively enhance robots' physical capabilities [8][11][17]. Group 3: Innovations in Robotic Design - The first principle involves creating lightweight yet strong lattice structures that allow for adaptable flexibility and energy storage for rapid movements [11][12]. - The second principle utilizes origami and kirigami techniques to enable robots to dynamically change their shapes, enhancing their adaptability to various environments [13][15]. - The third principle integrates responsive materials that allow robots to sense and react to their surroundings, effectively merging sensory and motor functions [17][19]. Group 4: AI and Metamaterials - The integration of AI with metamaterials is seen as a key to overcoming current design challenges, allowing for efficient modeling and intelligent control of robotic systems [23][24]. - AI can assist in reverse engineering designs based on desired functionalities, improving the efficiency of creating complex metamaterial structures [24][26]. Group 5: Future Vision - The ultimate vision for metamaterial robots is a deep integration of embodied intelligence, where robots can operate more like biological entities, with distributed sensory and decision-making capabilities [27][28]. - Future robots are expected to function effectively in dynamic environments, with the ability to self-assemble and reconfigure into different forms as needed [28].

Core Insights - The article discusses the innovative FoRoGated structure developed by a research team from Seoul University, which combines origami techniques and weaving to create a highly efficient and scalable robotic mechanism [4][10][12]. Group 1: Technology and Innovation - The FoRoGated structure addresses the challenge of creating a compact yet strong robotic arm that can both store efficiently and bear significant loads [5][9]. - Traditional telescopic mechanisms face limitations in terms of bending resistance and compactness, often requiring trade-offs between strength and size [6][9]. - The new design allows for a multi-layer structure that provides high strength and rigidity while maintaining compact storage capabilities [10][12]. Group 2: Performance Evaluation - The mechanical performance of the FoRoGated structure shows high scalability and directional strength, with bending stiffness and critical load capacity increasing linearly with the number of strips used [18][19]. - In comparative tests, a two-strip FoRoGated structure demonstrated 1.55 times the bending stiffness and over three times the critical bending moment of traditional structures like the TRAC arm [21]. - As the number of strips increases, the strength in non-primary directions also significantly improves, making it suitable for complex loading conditions [21]. Group 3: Practical Applications - The article highlights two impressive applications of the FoRoGated structure: a compact shelf-operating robot and a deployable mobile 3D printing robot [22][28]. - The compact robot features a FoRoGated structure that can extend to 1.6 meters while carrying a load of 0.5 kilograms, showcasing its utility in everyday environments [23][28]. - The 3D printing robot can expand to a height of 3.43 meters and support a 12.5-kilogram 3D printing system, demonstrating the structure's stability and precision in high-demand tasks [32].