Core Viewpoint - The "fast-slow dual system" design in robotics is gaining attention as it allows robots to balance rapid responses to environmental changes with thoughtful, complex decision-making, inspired by human cognitive processes [1][3][4]. Group 1: Fast-Slow Dual System Concept - The fast system (System 1) operates instinctively and automatically, while the slow system (System 2) engages in deliberate and conscious thought, enabling efficient decision-making [1][4]. - This decoupling of fast and slow systems allows for independent upgrades of AI algorithms without altering the stable control framework, reducing development complexity [1][4]. Group 2: Application in Robotics - The fast-slow dual system can address the challenge of balancing generality and practicality in robotics, enabling quick visual motion strategies and end-to-end training for rapid communication and interaction [3][4]. - For example, in a task like "grabbing a red block," the slow system handles perception and planning, while the fast system calculates the necessary torque for smooth movement, allowing for immediate responses to disturbances [3][4]. Group 3: Company Implementations - Various companies are adopting the fast-slow dual system, each with unique implementations but sharing the core inspiration from human cognitive dual-process theory [4][5]. - Companies like Figure AI, PI, and智平方 are developing models that emphasize the separation of planning and execution, allowing for asynchronous parallel processing and improved task execution in complex environments [6][9][12][13]. Group 4: Data Strategies and Training Methods - Companies such as 魔法原子 and 微亿智造 focus on collecting vast amounts of real-world data to minimize the gap between simulation and reality, while others like PI utilize synthetic data for efficient model training [5][28]. - The approaches vary from general models seeking ultimate generalization to specialized models targeting specific scenarios for reliability and efficiency [5][28]. Group 5: Specific Company Models - Figure AI's Helix model integrates a dual system architecture for high-frequency control of the robot's upper body, achieving end-to-end visual-language-action capabilities [6][7]. - PI's Hi Robot system combines high-level semantic planning with low-level action execution, enabling complex task management in home environments [9][10]. - 智平方's GOVLA model enhances task understanding and execution through a three-part architecture, achieving coordination in open environments [12][13]. - 星海图's G0 model focuses on real-time control and task planning in complex scenarios, supported by a high-quality dataset [15][16]. - 擎朗's KOM2.0 model emphasizes service industry applications, utilizing a dual system for environment perception and action generation [18][19]. - 星动纪元's ERA-42 model integrates high-level planning with low-level control, enhancing execution capabilities in dynamic environments [21][22]. - 节卡's JAKA EVO platform employs a dual system for task parsing and execution, facilitating rapid adaptation to new industrial scenarios [25][26]. - 微亿智造's architecture leverages a cloud-edge-end model to ensure scalable applications in complex industrial settings [28][30]. - 魔法原子’s model simulates human cognitive processes to enhance real-time response and long-term task planning [30][31]. - 灵初智能's Psi-R1 model combines planning and execution through a layered architecture, achieving high-level task management and precise control [33][34].

Core Insights - A company in Hangzhou has improved the lifespan of humanoid robot lead screws to a usable level through cold heading technology, potentially reducing costs to a feasible range [1] - The industry is facing challenges with the precision and lifespan of lead screws used in humanoid robots, leading some companies to consider alternative designs [4][5] Group 1: Technology and Manufacturing - The reverse planetary ball screw structure is complex, requiring compact design and high precision, with most humanoid robots needing P5 precision, which corresponds to an ISO standard of C5 [2] - Cold heading technology has been introduced for micro planetary roller screws, achieving C3 precision and significantly higher efficiency (5 minutes per screw) compared to traditional methods [5][10] - The cold heading process reduces material waste and improves production efficiency, making it a promising solution for lowering costs in the production of micro lead screws [8][10] Group 2: Company Overview - New Coordinates, established in 2002 and listed on the Shanghai Stock Exchange in 2017, is a leader in precision cold forging and has expanded its business into automotive and robotics sectors [5][11] - The company has a strong global presence, with manufacturing bases in Europe and North America, and has shown robust revenue growth, with a CAGR of 16.0% from 2020 to 2024 [11] - New Coordinates has developed proprietary equipment for internal thread rolling and hot forming, achieving a material utilization rate of 91%, significantly higher than the industry average [10]

城市救援中，它们穿越浓烟为消防员探路，争分夺秒救人；农田上空，它们化身"空中医生"，精准喷洒农药， 大幅提升农业效率……微小型无人机在人们的生活、生产中已经扮演了重要角色。但你可曾发现，虽然这些无 人机可以单飞、可以群舞，却几乎没有两架无人机能像"叠罗汉"一样，一上一下叠飞？这是因为两架无人机交 叠时会产生强烈的"气流干扰"，极易出现"翻车"事故，更不用提精准作业。这个看似"简单"的动作，却是无人 机技术发展的一个卡点。 北京时间9月24日晚23时，Nature报道了西湖大学工学院赵世钰实验室在该领域实现的突破，他们研发了名 为FlyingToolbox（飞行工具箱）的空中协同操作系统，在国际上首次完成了多架旋翼无人机的空中工具交 换，实现了"叠式"飞行状态下的高精度协同作业，成功解决了近距离飞行与高精度操作不可兼得的关键技术难 题。 这是中国在多旋翼无人机领域的研究成果首次登上Nature。当无人机从"单兵作战"迈向"群体协作"，这些空中 作业机器人将在更高更远的应用场景中，进行人类难以完成的任务。 原文链接: https://www.nature.com/articles/s41586-025-09575 ...

Core Viewpoint - The article emphasizes the significant role of robotics in shaping the future of the nation, highlighting the contributions of professionals in the field during a time of national celebration [4]. Group 1 - The robotics industry is portrayed as a key player in national development, with professionals using technology to weave the fabric of a strong country [4]. - The article expresses gratitude towards robotics practitioners for their contributions to the nation, framing their work as a substantial gift to the country [4]. - There is a call for continued innovation and progress in robotics, likening it to the vibrancy and precision of national celebrations [4].

Core Insights - The article emphasizes that robots are poised to become a new entry point for trillion-level traffic, and the first company to bridge the gap between robots and traffic will define the next generation of business ecology [1][4][19] - The opening of the first open immersive intelligent experience center in Wuxi marks a significant step in commercializing embodied intelligence technology for consumer scenarios [1][4] Group 1: Experience Center Overview - The experience center spans 1,300 square meters and features eight thematic spaces that blend traditional culture with future technology, offering affordable ticket prices for consumers [3][4] - The center aims to collect real user feedback to enhance product iterations and ensure that advanced technology serves real products and scenarios [3][4] Group 2: Market Dynamics - The robot industry is shifting from hardware competition to ecosystem competition, with the consumer market representing a largely untapped billion-level market [4][6] - The core of the robot traffic economy is to create continuous interactions with consumers, transforming the experience center into a venue for traffic accumulation [6][7] Group 3: Technical Deployment - The experience center successfully deployed 40 robots within three days, showcasing the technical capabilities and operational efficiency of the robots [9][11] - The robots are designed for high autonomy, allowing for efficient management and operation with minimal personnel [11][13] Group 4: Consumer Engagement - Young consumers are willing to pay for new experiences and share them on social media, which enhances brand visibility and engagement [7][19] - The experience center is not just an exhibition but a platform for immersive interaction, allowing consumers to engage with robots in various activities [6][19] Group 5: Commercialization Pathways - The experience center serves as a showcase and sales platform for robots, reducing the cost for enterprise clients to evaluate robotic solutions [14][16] - Eight commercial pathways have been identified, including entertainment performances and data collection training, with a focus on leveraging user interaction data for algorithm improvement [16][19] Group 6: Future Outlook - The company plans to replicate the Wuxi model in other cities through partnerships with local governments, aiming for scalable expansion of the robot traffic economy [17][19] - The article concludes that the robot industry is in its early stages, with significant potential for growth as technology evolves and consumer engagement deepens [19][20]

在人与机器不断走近的今天， 人机交互却常 常面临这样的困境：当桌上放着多个 不同 杯子时，如果对设备 说 "把杯子给我"，它可能会随意拿起一个 （ 但不是那个最合适的 ） ，或者干脆无法响应。这类场景，正 反映出当前智能系统在理解模糊指令时的能力局限。 人类之间的交流，往往依赖语境与默契，大量表达在字面上并不完整。例如我们常说 "一会儿提醒我"（具体 什么时间？）、"把空调开大点"（开大多少？）、"找个最近的店"（依据步行还是驾车？）。 对人而言，这 类信息缺口很容易通过追问或推断来补全；但对机器而言，模糊即意味着无法执行。 传统自动化系统往往只 能响应明确、结构化的指令，而未来的智能体，必须学会在模糊中主动沟通，在协作中完成任务。 这一挑战也推动着智能体从 "被动执行者"向"主动协作者"的角色转变 。 具身智能体的发展目标，是成为人 类在物理世界中的合作伙伴，而非停留在脚本定式的工具。与虚拟环境中的 AI 不同，具身智能体必须应对现 实场景的开放性与不确定性。无论是在家庭、工厂还是公共空间中，它们都面临一个根本性的新课题：如何与 人进行高效、自然、双向的协同作业。 近年来，视觉 - 语言 - 动作模型（ V ...

Group 1 - The first open embodiment intelligent experience center by Zhiyuan Robotics has opened in Wuxi, focusing on humanoid robots and creating a unique consumer experience that combines traditional culture with future technology [1][3] - The experience center features eight themed spaces, including a performance stage and interactive projects, with daily shows in the robot theater [3] - Zhiyuan Robotics and Liangxi Cultural Tourism Development Group aim to develop more tech-driven cultural tourism products and explore new commercialization paths for embodied intelligence in the tourism sector [3] Group 2 - Linghou Robotics has successfully completed over 100 million yuan in Series A financing, led by prominent investment firms, which highlights the market's recognition of its self-research capabilities and future plans [4][6] - The funds from this financing round will primarily be used for R&D of core components in industrial automation and general robotics, as well as for laboratory construction and capacity expansion [6] Group 3 - Tesla plans to start mass production of its third-generation humanoid robot in 2026, with an expected annual production target of 1 million units by 2030 [7][9] - The company is actively expanding its humanoid robot production scale, indicating a strong commitment to this segment of the robotics market [9] Group 4 - The 2025 World Robot Contest has commenced in Mianyang, Sichuan, attracting over 1,600 teams and nearly 3,000 elite competitors, marking the first time the contest is held in Mianyang [10][12] - The contest aims to host over 500 events globally in 2025, with participation expected to exceed 350,000 individuals across all age groups [12] Group 5 - Contemporary Amperex Technology Co., Ltd. (CATL) has acquired a stake in Galaxy General Robotics, which focuses on the R&D and manufacturing of intelligent and industrial robots [13][15] - The increase in registered capital to 422,600 yuan will support Galaxy General Robotics in its research and market expansion in the field of general robotics [15]

你有没有想过，快递机器人分拣包裹时，是如何精准判断该把哪个包裹放进哪个货架的？当维修工戴上 AR 眼镜检修机器，眼前的虚拟图纸为何能严丝合缝 地"贴"在零件上？这些酷炫场景的背后，都离不开一项关键技术—— 6D 位姿估计 。 简单来说，它就是让机器不仅能感知物体 "在哪儿"（ 3D 位置），还能识 别它"怎么摆"（ 3D 姿态）。就像我们一眼就能看出杯子是立着还是倒着、离自己有多远一样，机器也正在学会这样的空间洞察力。 这项技术的重要性不言而喻。工业机器人需要它来精准抓取零件；自动驾驶汽车依靠它识别周围车辆的位置和朝向； AR 应用则用它将虚拟物体准确叠加到真实世 界中。 然而，这项任务在现实环境中仍然极其困难：预扫描的 CAD 模型很少可用，多视图捕获不切实际，单视图重建存在尺度模糊性。因此，尽管从单幅图像进行可靠 的一次性 6D 姿态估计在模拟中起着核心作用，但长期以来人们一直认为它几乎是不可能的。 而机器人与物理世界的交互，恰恰依赖这种精准的空间感知。 近期，由北京智源研究院、清华大学、南洋理工大学等机构联合提出 的 OnePoseViaGen 框架 ， 创新性地将单视图 3D 生成与生成式领域随机化相 ...

Core Insights - The article discusses the development of SPARC, a soft robot designed for precise movement in three-dimensional environments, overcoming challenges faced by traditional soft robots [2][6]. Group 1: SPARC Development and Design - SPARC is a soft, proprioceptive, agile robot capable of climbing and exploring in 3D environments, utilizing a unique origami structure for movement on both horizontal and vertical surfaces [2][3]. - The robot integrates three parallel Kresling origami actuators and suction cup structures, allowing for three-dimensional driving and adhesion on various surfaces [5][9]. - SPARC can carry a payload of 500 grams, which is more than twice its own weight of 210 grams, demonstrating significant load-bearing capabilities [5][17]. Group 2: Technical Innovations - The Kresling origami actuators provide a 60% contraction rate and a driving force of 3 kilograms under -80 kPa vacuum conditions, with a lifespan exceeding 20,000 cycles [7][8]. - The robot employs a dual closed-loop control system for precise posture management and global positioning adjustments, enhancing trajectory tracking accuracy [5][14]. - SPARC's tracking control algorithm has shown low tracking errors of approximately 0.5% on horizontal surfaces and under 3% on vertical paths, indicating robust performance [17]. Group 3: Motion Strategies and Testing - The research team conducted systematic tests to evaluate SPARC's performance in various conditions, including carrying a 500-gram load and navigating complex paths [16][19]. - A modular configuration of SPARC was explored, allowing for enhanced bending angles and step lengths, facilitating smoother transitions from ground to vertical surfaces [19][20]. - The robot's climbing strategy was optimized for vertical environments, reducing collision risks and improving safety during operation [20].

Core Viewpoint - The 2025 World Robot Competition Mianyang Championship is a significant event aimed at injecting new vitality into Mianyang, promoting innovation, and nurturing talent for the establishment of a national technology innovation demonstration zone [1][12]. Group 1: Event Overview - The championship is part of the 13th China (Mianyang) Science and Technology City International Expo and marks the first time the competition is held in Mianyang [1]. - The event features over 1,600 teams and nearly 3,000 elite participants selected through rigorous processes from across the country [8]. Group 2: Competition Structure - The competition system is becoming increasingly refined, with a rich variety of events planned, including over 300 city selection competitions, more than 100 provincial selection competitions, nearly 50 international championships, and multiple domestic competitions, totaling over 500 events globally [12]. - The anticipated participation for the year is expected to exceed 350,000 individuals across all age groups [12]. Group 3: Leadership and Support - Key figures at the opening ceremony included Zhang Feng, Secretary of the Party Committee of the China Electronics Society, and Deng Hui, Deputy Mayor of Mianyang [3][7].