Group 1 - The 15th China-Northeast Asia Expo will be held from August 27 to 31 in Changchun, featuring nearly 200 exhibition booths showcasing artificial intelligence and related products [1] - A total of 1,029 domestic and foreign enterprises have confirmed participation, including 275 companies from Northeast Asia, Europe, and countries along the Belt and Road Initiative [1] - The expo will display over 70,000 brands of goods both online and offline, organized into four main theme pavilions: Modern Industry Pavilion, Open Cooperation Pavilion, New Consumption and New Services Pavilion, and International and Hong Kong-Macau-Taiwan Goods Pavilion [1] Group 2 - The Modern Industry Pavilion will highlight traditional industry upgrades, showcasing significant achievements in new productivity and innovative ecological cooperation systems, featuring major companies like Huawei, PetroChina, Sinopec, DJI, and COFCO [1] - The Northeast Asia Economic and Trade Cooperation Achievement Exhibition Area will focus on showcasing ports like Hunchun and Quanhe, as well as platforms such as the Greenwood Park and China-South Korea Demonstration Zone, emphasizing economic cooperation and cultural exchanges [2] - The New Consumption and New Services Pavilion will present trends in consumer sectors and new service models, with confirmed exhibitors including Tesla, Siemens, Philips, Huawei, and JD.com [3]

Core Insights - The Beijing Humanoid Robot Innovation Center's Tianyi 2.0 won the first gold medal at the 2025 World Humanoid Robot Games by completing tasks autonomously, showcasing its advanced capabilities in precision and stability [1][7] - The competition required robots to accurately insert 27 slender materials with a diameter of only 8 millimeters into designated holes, highlighting the high demands for fine object handling [1] - Tianyi 2.0's success is attributed to the effective collaboration between its "embodied brain" and "embodied small brain" enabled by the "Wisdom Opens Things" platform, demonstrating significant advancements in embodied intelligence technology [3][5] Company Achievements - The victory of Tianyi 2.0 in the material sorting project signifies a major breakthrough in embodied intelligence technology, marking a transition from laboratory concepts to practical applications in complex industrial scenarios [7] - The robot's ability to perform "perception-decision-execution" in open and dynamic environments indicates a shift from being mere programmed machines to autonomous entities capable of complex tasks [5] Competition Performance - In addition to winning the gold medal, Tianyi 2.0 also secured the silver and bronze medals in the material handling project at the same event, further demonstrating its competitive edge [9]

Core Insights - The 2025 World Humanoid Robot Games concluded successfully in Beijing, showcasing the integration of technology and sports with 280 teams from 16 countries competing in 26 events, resulting in 26 gold medals awarded [1][2]. Group 1: Technological Advancements - The "Jushen Tiangong Ultra" robot, representing the Beijing Humanoid Robot Innovation Center, won the 100m race autonomously, marking a significant milestone as the first robot to achieve this feat [1][2]. - The robot utilized a fully autonomous navigation system, a significant upgrade from its previous semi-autonomous capabilities, allowing it to understand complex environments and plan movements in real-time [2][3]. - The introduction of the "Wisdom Open Platform" by the Beijing Humanoid Robot Innovation Center aims to enhance robots' decision-making and execution capabilities, transitioning from single-task execution to complex autonomous operations [3][4]. Group 2: Competitive Performance - The "Jushen Tiangong Ultra" demonstrated exceptional stability and control during races, successfully navigating without human intervention, which was validated through its performance in various competitions [4][5]. - Hangzhou Yushu Technology Co., Ltd. achieved remarkable results, winning four gold medals and setting a record speed of 4.78 meters per second with its humanoid robots [4][5]. - The competition served as a platform for testing and showcasing the practical applications of humanoid robots in real-world scenarios, such as material handling and service tasks [6]. Group 3: Industry Implications - The event highlighted the potential for humanoid robots to integrate into everyday life, serving as a bridge to various industries and enhancing productivity across sectors [6]. - The competition provided insights into the reliability and precision of robotic components, guiding future improvements to meet real-world application demands [6]. - The success of the event is expected to attract investment and support for the growth of the humanoid robotics industry, fostering innovation and development [6].

Group 1 - The 2025 World Robot Conference is being held in Beijing, showcasing over 10 innovative products and solutions from more than 20 companies in the Beijing Economic-Technological Development Area [1] - The conference features the global debut of the new generation ROPA orthopedic surgical robot, which integrates AI technology to significantly reduce preoperative planning time and enhance precision in implant positioning [3] - The conference highlights the development of a comprehensive ecosystem in Beijing Yizhuang, with over 300 companies in robotics and intelligent manufacturing, covering the entire industry chain from core components to applications [1] Group 2 - The CTO of Beijing Human Shape emphasizes the capability of heterogeneous robot groups to collaborate seamlessly across different scenarios without human intervention, marking a shift from traditional automation models [2] - The exhibition includes the launch of the VLA model, which allows users to control humanoid robots through VR devices, showcasing advancements in remote operation technology [2] - The Smart Health and Care exhibition area presents various collaborative solutions, including exoskeleton robots and AI rehabilitation machines, aimed at improving quality of life in various settings [3]

Core Insights - The 2025 World Artificial Intelligence Conference (WAIC) showcased significant advancements in humanoid robots, indicating a pivotal shift from laboratory experiments to large-scale applications in the coming years [1][5] - The Chinese robotics industry is experiencing rapid iteration, with a notable increase in financing events for humanoid robots in the first half of 2025, surpassing the total for the previous year [1][5] Group 1: Technological Advancements - Humanoid robots have shown qualitative improvements in movement precision and task completion compared to previous years, with capabilities such as flexible navigation in complex terrains and more fluid grasping actions [1][5] - The integration of AI large models with robotic systems has enhanced their operational capabilities, allowing for real-time decision-making and improved adaptability to various environments [6][7] - Companies like Magic Atom and Beijing Humanoid Robot Innovation Center are demonstrating advanced collaborative capabilities among robots, enabling them to communicate and execute tasks autonomously [6][7] Group 2: Market Dynamics - The financing landscape for humanoid robots is expanding, with leading companies like Yushu Technology and Zhiyuan Robotics securing significant contracts, indicating a growing market demand [5][7] - The industry is witnessing a clear differentiation among companies, with those unable to achieve "intelligent closed-loop + mass production capability" facing potential risks of elimination [7][8] - The ongoing investment boom in the humanoid robot sector is expected to continue, driven by the increasing recognition of their practical applications and market potential [7][8] Group 3: Application Scenarios - Humanoid robots are being deployed in diverse fields, including industrial tasks, education, and rehabilitation, showcasing their versatility and potential for real-world applications [2][4] - The introduction of interactive robots designed for rehabilitation and emotional companionship reflects a growing focus on human-robot interaction and care [4][7] - The advancements in quadruped robots, which have been operational in practical scenarios longer than humanoid robots, highlight the broader applicability of robotic technology across various sectors [5][6]

Core Viewpoint - The World Artificial Intelligence Conference (WAIC) showcased significant advancements in embodied intelligence, particularly through Beijing Humanoid Robot Innovation Center's demonstration of multi-body, multi-scenario, and multi-task autonomous collaborative operations, marking a shift from experimental to industrial applications [1][2][20]. Group 1: Technological Advancements - Beijing Humanoid's "Wisdom Open Object" platform enables cross-body compatibility and asynchronous task scheduling, representing a major breakthrough in embodied intelligence [2][6]. - The "Tian Gong" robot demonstrated advanced full-body motion control and dynamic capabilities, achieving a high level of coordination and efficiency in complex tasks [3][16]. - The robots utilize a distributed embodied intelligence system, allowing for real-time multi-task processing and autonomous decision-making, enhancing operational efficiency [8][9]. Group 2: Practical Applications - The demonstration included a complete industrial task chain where robots autonomously communicated and executed tasks across different operational zones, showcasing their adaptability in real-world scenarios [6][10]. - The robots successfully performed intricate operations such as opening cabinets and quality inspections, highlighting their ability to handle complex tasks in dynamic environments [10][12]. - The "Wisdom Open Object" platform's decision-making module integrates self-developed VLA models, enabling rapid action prediction and execution, which is crucial for maintaining operational stability in fluctuating conditions [14][19]. Group 3: Industry Impact - The advancements in embodied intelligence signify a transition from demonstration to application, providing new pathways for smart manufacturing and industrial automation [20]. - The successful execution of collaborative tasks by robots indicates a future where robots are not merely tools but intelligent partners capable of adapting to various industrial needs [20]. - The data collection and algorithm training capabilities showcased at WAIC underline the importance of robust data infrastructure in driving innovation and standardization within the industry [18][19].

新京报贝壳财经讯(记者韦博雅)7月26日，世界人工智能大会(WAIC)在上海拉开帷幕。北京人形机器人创新中心 (简称"北京人形")携全国首个工业"多本体、多场景、多任务自主协同作业"实战演示亮相。新京报贝壳财经记者了 解到，这意味着其今年3月发布的"慧思开物"，在分布式具身智能体系统能力方面已实现全面升级。 同时，这一系列具身智能体能力也正应用于北京人形的明星产品"天工"上，持续推动其技术进化与实际应用拓 展。 当前，具身智能仍停留在"单场景、单任务、单构型"的早期阶段，行业亟须一套通用、可扩展的平台，支持多构 型机器人在复杂真实环境中的应用。据悉，北京人形此次带来的多个工业场景具身智能体协作展示，是业内首个 实现了公开真机演示的多具身智能体协作应用，具备重要突破意义。该系统基于通用具身智能平台"慧思开物"构 建，具备跨本体兼容、任务异步协同自主调度，实现了真正意义上的"一脑多机、一脑多能"。这也标志着具身智 能正从实验室走向产业化，为实际应用提供了可落地、可复制的路径。 北京人形在WAIC展区呈现了一条完整的工业场景任务链：在通用具身智能平台"慧思开物"的统一指挥下，各智能 体机器人自主相互通报进展、沟通工 ...

Core Viewpoint - The article highlights the advancements in embodied intelligence showcased at the World Artificial Intelligence Conference (WAIC) in Shanghai, particularly focusing on Beijing Human Shape Robot Innovation Center's demonstration of multi-body, multi-scenario, and multi-task autonomous collaborative operations, marking a significant step towards industrial application of robotics [1][22]. Group 1: Technological Advancements - Beijing Human Shape's demonstration featured the first industrial application of multi-body, multi-scenario, and multi-task autonomous collaborative operations, indicating a shift from experimental to practical applications in the field of embodied intelligence [3][22]. - The "Wisdom Open Object" platform enables cross-body compatibility and asynchronous task collaboration, showcasing a significant upgrade in distributed embodied intelligence systems [3][5]. - The "Tian Gong" robot exhibited advanced full-body motion control and dynamic capabilities, achieving a high level of coordination and control, which is crucial for complex industrial tasks [4][16]. Group 2: Practical Applications - The demonstration included a complete industrial task chain where robots autonomously communicated and executed tasks across different operational zones, showcasing the efficiency of the "Wisdom Open Object" platform [5][9]. - Robots were able to perform intricate tasks such as opening cabinets, pressing buttons, and conducting quality inspections, highlighting their adaptability in real-world scenarios [8][11]. - The system's ability to autonomously plan and execute tasks in dynamic environments was emphasized, showcasing its potential for flexible automation in industrial settings [12][13]. Group 3: Future Prospects - The advancements in embodied intelligence are expected to lead to a new era of collaborative robots that can adapt and work together, moving beyond being isolated tools to becoming intelligent partners in various industries [22]. - The ongoing development of the RoboMIND dataset and the integration of high-fidelity data collection methods are set to enhance algorithm training and standardization in the industry [18][25]. - The upcoming World Robot Conference is anticipated to further showcase the capabilities of the upgraded "Tian Gong" robot, particularly in autonomous navigation and full-body control [4][20].

Group 1: Industry Overview - Beijing is focusing on developing a "1+4" product system in robotics, which includes humanoid robots, medical health robots, collaborative robots, special robots, and logistics robots, with over 400 core enterprises in the sector [1] - The city has the highest number of specialized "little giant" robot enterprises in the country, with 57 such companies, nearly 30 humanoid robot manufacturers, and 24 registered surgical robots, leading in these metrics nationwide [1] - The robot industry in Beijing generated over 30 billion yuan in revenue in 2024, marking a nearly 50% year-on-year growth [9] Group 2: Technological Advancements - The "TianGong Ultra" humanoid robot won the first global humanoid robot half-marathon, showcasing its long endurance and adaptability to complex terrains, leading to a surge in orders exceeding 2,500 units [2] - The "TianGong 2.0" robot, developed by Beijing Renxing, features industrial-grade capabilities and a smart computing platform, achieving millimeter-level dynamic operation precision [3] - The "HuiSiKaiWu" platform, launched in March 2025, is the world's first general-purpose embodied intelligence platform, integrating AI-driven task planning and data-driven skill execution [4] Group 3: Applications and Use Cases - The "XiaoNuo" robot, developed by Songyan Power, can perform over 200 micro-expressions and is designed for various applications, including education, commercial guidance, and psychological therapy [6] - The AI catheter shaping robot developed by Qianglian Zhichuang can automatically shape catheters for brain surgery, significantly reducing operation time and improving success rates [7] - Robots are being applied in diverse fields such as industrial manufacturing, commercial services, education, medical care, agriculture, and landscaping, with 199 innovative products implemented in 134 application scenarios since 2023 [9] Group 4: Investment and Support - Beijing's government has established a 10 billion yuan robot industry development fund, supported by prominent investment firms, creating a comprehensive investment framework from early-stage R&D to application [10] - The city has a robust public service system, including the National Robot Inspection and Testing Public Service Platform and the World Robot Conference, which has been held successfully for ten years [10]

Core Viewpoint - The article introduces SwitchVLA, a lightweight and data-efficient method for dynamic task perception and decision-making, addressing the challenges of task switching in multi-task VLA models, achieving superior performance compared to existing methods [3][22]. Group 1: Introduction - Current mainstream multi-task VLA models struggle with task switching, defined as "Task Switching," where the model's ability to adapt to new tasks mid-execution is limited [3][5]. - SwitchVLA employs an Execution-Aware mechanism and a lightweight network architecture to facilitate task switching without the need for additional data collection [3][10]. Group 2: Background - Multi-task VLA training typically involves independent data collection for each task, leading to challenges in seamlessly transitioning between tasks [5]. - The inability of existing SOTA VLA methods to effectively handle task switching is highlighted, emphasizing the need for improved solutions [5][10]. Group 3: Methodology - SwitchVLA addresses two core problems: representing task switching without extra data collection and training an end-to-end imitation learning model that autonomously judges based on current conditions [10][12]. - The model improves task switching representation by concatenating previous task, current task, and the previous task's stage, enhancing the model's ability to perceive task transitions [12][13]. - A simplified training process categorizes tasks into three stages: before contact, during contact, and after contact, allowing for effective task switching without additional data [15][16]. Group 4: Experimental Results - Experiments demonstrate that SwitchVLA outperforms existing methods in task switching scenarios while maintaining comparable performance in single-task settings [20][22]. - The analysis of task switching failures reveals that the proposed method effectively mitigates common failure causes [20]. Group 5: Conclusion and Future Directions - SwitchVLA is positioned as a significant advancement in dynamic task management, with plans for further iterations and deployment in humanoid robots for applications in flexible industrial production and personalized commercial services [22][23].