早在今年 5月，马斯克在《让人类成为多星球物种》的演讲中不仅喊出了"让人类走向群星之间"的口号，还 放出明年要上火星的豪言壮语，引起国内外社交媒体热烈讨论。 不过，当我们畅想未来在月球或火星上建立永久家园时，一个严峻的挑战却横亘眼前： 如何抵御致命的宇宙 辐射和极端温度？ 答案可能并不在眼前的地表，而深藏于其下 ——火星那些蜿蜒曲折的熔岩洞穴，堪称是极端环境中的"生命绿 洲"， 它们厚实的岩层能完美屏蔽致命的宇宙辐射，其内部维持着近乎恒定的温度。 所以其不仅是寻找地外 生命痕迹的理想场所，更是未来人类建造永久基地的绝佳选址。 然而，深入这些洞穴对人类宇航员而言风险极高。尽管人类已发射超过 250个探测器探索地外天体，但认知 仍主要停留于表面。考虑到地外熔岩洞穴难以进入的特性，使用机器人团队进行探索不仅更安全，也更具经济 效益。而地球上的类似场景虽已初步验证了机器人的能力，但它们在太空严苛环境下的适应性仍需深入研究。 而为攻克这一极限探索难题，一个由德国人工智能研究中心（ DFKI）等欧洲顶尖机构组成的团队，提出并成 功验证了一套完整的、由异构机器人团队执行的自主探索方案。这套方案的核心在于构建了一支功能互补的 ...

Core Viewpoint - The 2025 Technology Change Makers Conference focuses on the industrialization of hard technology, aiming to create a platform for collaboration and innovation in the field of embodied intelligence [2][3]. Group 1: Conference Overview - The conference will be held on September 5, 2023, at the Renaissance Hotel in Beijing, organized by the Zhiyou Yari Science and Technology Innovation Platform and other partners [2]. - The theme of the conference is "Embodied Intelligence: A New Engine for Industrial Transformation," emphasizing the importance of industry connection and resource empowerment [3]. - The event aims to gather top scientists, entrepreneurs, and investors to facilitate communication and collaboration in the field of embodied intelligence [3]. Group 2: Key Activities - The conference will feature a series of activities, including opening remarks, strategic cooperation signing, and the establishment of the "Embodied Intelligence Industry Collaborative Innovation Center" [5]. - A main report will be delivered by Paolo Dario, Director of the Italian National Center for Robotics, and Huang Tiejun, Chairman of the Beijing Zhiyuan Artificial Intelligence Research Institute [6]. - The agenda includes thematic speeches and panel discussions focusing on the evolution and commercialization of embodied intelligence technologies [11][12]. Group 3: Industry Insights - The conference will release the "2025 China Embodied Intelligence Industry Star Map," analyzing the evolution from automation to intelligence and identifying strategic points in future industry landscapes [16]. - It will also highlight the collaboration between leading enterprises in high-end manufacturing and consumer technology to accelerate the industrialization of embodied intelligence [16]. - The event aims to create a closed-loop value system that integrates scientific research, industry needs, and capital leverage to promote scalable and iterative industrial solutions [16]. Group 4: Networking and Media Coverage - The conference expects over 500 participants from various sectors, including high-end manufacturing and technology enterprises, to foster a collaborative ecosystem [16]. - It will feature extensive media coverage from over 80 global media outlets, enhancing the visibility of the event and its discussions [17].

2024 年 8 月 9 日 ， 麻 省 理 工 《 技 术 评 论 MIT Technology Review 》 期 刊 的 一 篇 文 章 ， 报 道 了 谷 歌 旗 下 DeepMind公司最新研发的 一款 "乒乓机器人"。该机器人以ABB机器人为载体，实现了对于乒乓球的接发球 以及与人类的对抗性 功能 。这个挥舞着 3D打印球拍的机械臂， 最终 在与人类玩家的模拟比赛中，赢得了 29场比赛中的13场（胜率44%），成为首个能够达到人类"业余乒乓选手"技术水平的学习型机器人智能体。 乒乓球有别于国际象棋、围棋等纯战略游戏，这项高难度任务背后的技术挑战非常多，例如其对运动员体力、 实时的决策能力、比赛时快速的眼手协调和高层次策略等要求都很高，需要人类运动员经过多年的训练才能达 到高级水平，因此， 乒乓球机器人也成为了检验机器人综合能力的又一重要标尺，是具身智能技术落地能力 的评估缩影。 据悉，除了乒乓球大赛，节卡机 器人还曾举办 JAKA Lumi杯具身智能大赛 ，参与长三角具身智能大赛并获 奖，在这类瞄准更通用的应用能力的具身智能大赛中证明了其产品实力以及创新力，节卡机器人多次参与各类 赛事，正是将其 ...

Core Viewpoint - The integration of artificial intelligence and robotics is entering a critical phase, with embodied intelligent robots moving from laboratory settings to industrial applications, driven by advancements in "brain" technology, the resolution of contextual challenges, and rigid demands in specific sectors [1] Group 1: Evolution and Breakthrough of Robot "Brain" - The core competitiveness of embodied intelligent robots lies in the maturity of their "brain" systems, which directly influences their perception, decision-making, and execution capabilities in complex environments [2] - Recent advancements have transitioned robot intelligence from single-modal processing to multi-modal integration, creating a complete technological chain from basic models to comprehensive applications [2][4] - The emergence of visual language models (VLM) has significantly enhanced robots' perception capabilities, allowing them to understand and interact with their environments more effectively [4] - The latest visual language action models (VLA) have integrated motion control into intelligent systems, achieving a closed-loop from perception to action, thus improving operational precision and safety in human-robot collaboration [4][5] Group 2: From Technical Bottlenecks to Scene Implementation - The industrialization of general-purpose robots has been hindered by three main bottlenecks: lack of real machine data, slow model inference, and complex motion control [6] - Focusing on vertical fields provides new pathways to overcome these challenges, facilitating the transition of robots from labs to large-scale applications [6] - The establishment of a "data flywheel" mechanism is crucial for accumulating the necessary 3D spatial and physical interaction data, enabling robots to improve performance through iterative deployment [6][9] - Recent advancements have reduced deployment cycles from 18 months to 6 months and cut deployment costs by 50%, with task success rates increasing from 60% to over 90% [9] Group 3: Key Application Scenarios - The report identifies three key sectors for the application of embodied intelligent robots: apparel, healthcare, and logistics, which are experiencing a pivotal shift from technology validation to large-scale implementation [11] - In the apparel industry, automation bottlenecks have historically limited upgrades, but recent technological breakthroughs are expected to increase automation rates in sewing from 5% to 50% within 3-5 years [11][13] - The healthcare sector faces a significant shortage of caregivers, and robots are being developed to assist in patient care, with government policies supporting the trial of intelligent elderly care robots [13][14] - The logistics industry is focusing on automating the last mile of operations, with embodied intelligent robots addressing the labor-intensive task of picking and sorting, which still relies heavily on human labor [14][16] Group 4: Future Industry Ecosystem and Investment Opportunities - Investment opportunities are emerging in the intelligent robotics sector, particularly in the integration of small and precise models for specific applications, as well as in the development of intelligent sewing equipment in the apparel industry [16][17] - The healthcare robotics field is characterized by multiple technological pathways, with companies exploring various applications in rehabilitation and elderly care [17] - In logistics, the focus is on automated system integration, with companies developing comprehensive solutions that enhance efficiency in material handling and sorting processes [19] - The long-term significance of embodied intelligent robots lies in their potential to redefine production and service paradigms, leading to a new phase of productivity growth in manufacturing and service industries [19]

Group 1 - Nvidia launched the Jetson AGX Thor robot chip module priced at $3,499, which is designed to create robot prototypes and features a speed increase of 7.5 times compared to previous generations, supporting generative AI models with 128GB memory [3][4] - Hubei Yichang's Qingkui Robot Technology Co., Ltd. is set to send its AI chemical robot to Singapore, marking its first overseas venture, with the robot capable of continuous operation and a low error rate of under 2% [6][7] - Shougang Park's West Ten Silos area has transformed into a humanoid robot industry base, attracting nearly 20 companies and focusing on four core tracks, supported by local government policies and capital [9][10] Group 2 - Startup FieldAI raised $200 million in funding, becoming a leader in adaptive robotic intelligence, with plans to accelerate commercial deployment and research, aiming to create a universal robot brain [12][13] - Princeton University's team developed a mixed reality system called Reality Promises, allowing seamless interaction between virtual and physical environments through invisible robots [15][16]

Core Viewpoint - The article highlights the breakthrough in medical accessibility in high-altitude regions like Tibet through the application of advanced robotic surgical technology, specifically the 锟铻® orthopedic surgical robot, which has successfully performed surgeries in challenging environments [1][4][5]. Group 1: Technological Breakthroughs - The first robot-assisted unicompartmental knee surgery in Tibet was successfully completed, marking a significant milestone for county-level hospitals in the region [1][4]. - The surgical procedure was supported by the National Orthopedic and Sports Rehabilitation Clinical Medical Research Center and involved advanced technology to overcome the challenges posed by high altitude [2][4]. - The success of the surgery demonstrates China's progress in high-end medical equipment, transitioning from technology catching up to leading in specific areas [4][5]. Group 2: Medical Resource Distribution - The article discusses the stark contrast in medical resource distribution, with Tibet having only 1/5 of the medical resource density compared to eastern coastal regions, and a significantly lower rate of joint replacement surgeries [5][10]. - The introduction of the 锟铻® surgical robot aims to address the "Matthew Effect" in healthcare, where 80% of joint replacement surgeries are concentrated in major cities, leaving remote areas underserved [10][11]. - The robot's adaptability to high-altitude conditions has been validated through numerous surgeries, paving the way for broader application in the region [7][11]. Group 3: Future Implications - The integration of AI and robotic technology in surgeries is expected to enhance the quality of healthcare services in remote areas, allowing local doctors to perform complex procedures with real-time support from experts [11][13]. - The article emphasizes the potential for smart medical technology to bridge the healthcare gap, ensuring that patients in high-altitude regions receive quality medical services comparable to those in urban centers [13]. - The success of robotic surgeries in Tibet serves as a model for future healthcare initiatives, aligning with China's "Healthy China" strategy and showcasing the importance of technology in reaching underserved populations [13].

Core Viewpoint - The first World Robot Sports Competition highlighted that the robotics industry is still in its early development stage, with no clear technological leader emerging yet, and many companies, including Magic Atom, showing potential for growth and innovation [1][2][4]. Group 1: Competition Landscape - The competition revealed that many companies, apart from Yushu and Tiangong, are still in the early stages of development, with no significant technological gaps between them [1]. - Magic Atom's MagicBot Z1 demonstrated competitive performance, achieving first place in preliminary heats for 100m and 400m races, showcasing its potential against established products like Yushu's G1 [2][4]. Group 2: Product Development and Strategy - Magic Atom's product line spans from consumer-grade robots to professional robots, with a focus on differentiating features while targeting similar categories as Yushu [5][6]. - The company aims to redefine industry standards rather than merely replicate Yushu's success, emphasizing unique product characteristics and user experiences over price competition [10][11]. Group 3: Technological Advancements - Magic Atom's technology is built on a foundation of robust algorithms and data-driven models, allowing for high dynamic performance and adaptability in various environments [14][15]. - The company employs a mixed data approach, utilizing 80% real data and 20% simulated data to enhance its algorithms, which is crucial for adapting to complex real-world scenarios [15]. Group 4: Future Outlook - The robotics industry is transitioning from a focus on technical specifications to real-world application and user experience, with companies like Magic Atom positioning themselves to lead this shift [17][18]. - Magic Atom is building a comprehensive ecosystem that integrates technology, scene adaptability, and collaborative capabilities, aiming to transform robots from experimental products into practical solutions for various industries [18][20].

Group 1 - Shanghai Electric launched its first self-developed humanoid robot "Suyuan," which stands 167 cm tall, weighs 50 kg, has 38 degrees of freedom in joints, and can walk at a speed of 5 km/h, capable of precise box handling. The four highlights include self-developed core technology, high human-like design, full-body intelligent control, and high computing power. Currently, over 30 scenarios are open for "Suyuan" training, including material sorting and assembly [1][3] - NVIDIA announced a significant update regarding its robotics technology, teasing a new "brain" technology set to be revealed on August 25, 2025. The announcement was accompanied by a video showcasing a humanoid robot reading a card signed by CEO Jensen Huang. NVIDIA has been deepening its robotics technology focus, with predictions that humanoid robots will become as ubiquitous as cars, representing a major growth market for the company [4][7] - XuanChuang Robotics completed a Pre-A round financing of several million yuan, with funding aimed at research and market expansion. Founded in December 2022, the company specializes in special embodied intelligent robots, covering various industrial scenarios. The company has seen a doubling of performance and is already profitable, attracting investor interest in its technology and market potential [8][10] Group 2 - Anhui Medical University First Affiliated Hospital successfully completed its fourth 5G remote robotic surgery, with the procedure conducted over 160 km away. This advancement relies on "5G + dedicated fiber," providing clear visuals with near-zero latency. The hospital plans to expand this technology to more regions, breaking down geographical barriers in medical resources [11][13] - In Shenzhen's Bantian Street, two robots named "Chengcheng" and "Guanguan" have been deployed for flexible guidance of street vendors. These robots effectively communicate with vendors, helping to alleviate tensions and successfully encourage compliance. This initiative is part of a broader exploration of using intelligent robots for urban management, enhancing local governance through technology [14][16]

Core Viewpoint - The development of humanoid robots requires them to perform multiple tasks, including manipulating various objects and maintaining balance in unexpected situations. Large Behavior Models (LBM) are crucial for cultivating these core capabilities in humanoid robots [1][2]. Group 1: Collaboration and Development - Boston Dynamics has partnered with Toyota Research Institute (TRI) to develop LBM for the Atlas humanoid robot, utilizing end-to-end language modulation strategies to assist in long-term manipulation tasks [2]. - The strategy consists of four processes: collecting behavior data through remote operation, processing and annotating the data, training neural network strategies, and evaluating these strategies with a testing suite [3]. Group 2: Strategy Principles - Boston Dynamics follows three core principles in strategy formulation: maximizing task coverage through a remote operation system, adopting a multi-task training policy for better generalization, and building a robust infrastructure for rapid iteration and scientific rigor [5][9]. Group 3: Hardware and Software Configuration - The Atlas robot has 78 degrees of freedom (DoF) for extensive movement and flexibility, while the Atlas MTS focuses on pure manipulation tasks with 29 DoF [9]. - The remote operation system uses HDR stereo cameras for situational awareness and integrates with a model predictive controller (MPC) to ensure precise operations while maintaining balance [9][10]. Group 4: LBM Technology and Simulation - The LBM architecture is based on TRI's LBM, utilizing a diffusion transformer with 450 million parameters to predict actions based on sensory input and language prompts [11]. - Simulation technology plays a key role in development, allowing for efficient training and evaluation while sharing data pipelines and reducing costs [11]. Group 5: Enhanced Capabilities - Through LBM training, Atlas has surpassed traditional robotic limitations, enabling it to autonomously respond to unexpected situations and perform complex long-range tasks [12][14]. - The robot can execute a variety of tasks, from simple pick-and-place actions to complex operations like manipulating a 22-pound (9.9 kg) tire, showcasing the advantages of "learning by demonstration" [16]. Group 6: Future Directions - Boston Dynamics aims to expand its "data flywheel" to improve throughput, quality, task diversity, and difficulty while exploring new algorithmic concepts [19].

Core Viewpoint - A new soft robotic system for teleoperated endoscopic surgery has been developed by a research team from UNSW, which operates solely on hydraulic transmission without the need for motors, showcasing significant potential for precise surgical operations in narrow intestinal spaces [1][2]. Group 1: Importance of Soft Surgical Robots - Colorectal cancer is the third most common cancer globally, with a high mortality rate. Endoscopic submucosal dissection (ESD) is a crucial treatment method that avoids external incisions [2][4]. - Existing ESD robotic systems face challenges such as mechanical structure limitations, complexity, and high costs, which hinder their clinical application [4][5]. Group 2: Innovative Design Inspired by Nature - The research team drew inspiration from the mouth structure of leeches, leading to the design of a unique three-claw gripper that mimics the leech's suction capabilities [6][7]. - The three-claw design allows for automatic alignment and even force distribution, reducing the risk of tissue damage compared to traditional two-claw systems [7][8]. Group 3: Mechanical Control System - The system features a purely mechanical master-slave control mechanism, eliminating the need for electronic controls, which enhances reliability and reduces energy loss during operation [9][11]. - The design includes a Delta structure master controller that translates hand movements into precise actions at the surgical end, utilizing hydraulic pressure generated by syringes [11][12]. Group 4: Performance and Testing - The soft robotic arm can extend by 70 mm and generate a maximum force of 3.88 Newtons, surpassing the force required for ESD procedures [12][19]. - Rigorous in vitro and ex vivo experiments demonstrated the system's capability to perform complete ESD procedures, showcasing its clinical application potential [15][18]. Group 5: Future Prospects - Future improvements will focus on enhancing tactile feedback and integrating imaging technology for better visual feedback during procedures [20]. - The innovative design of this soft robotic system may also be applicable to other endoscopic surgeries, potentially revolutionizing minimally invasive surgical techniques [20].