Core Viewpoint - The company, Jingcheng Shares (600860.SH), primarily engages in equipment manufacturing, focusing on gas storage and transportation equipment as well as intelligent manufacturing. The company has not invested in Xiaomi Robotics or Tiangong Robotics [1]. Company Overview - The main business of the company is equipment manufacturing [1]. - Key products include gas storage and transportation equipment and intelligent manufacturing solutions [1]. Investment Activity - The company has confirmed that it has not made investments in Xiaomi Robotics or Tiangong Robotics [1].

央视网消息：当前，机器人的运动能力正在迅速进化。但是，要让它们像人一样理解一些事情还是比较困难的。日前，我国科研团 队开源出一个名叫"WoW"的具身世界模型，它有什么进步？ 这里是北京人形机器人创新中心，各种形态的机器人本体正在进行具身智能数据采集和动作模型训练。这台"天工"机器人正在进行 的就是自主地1:1复刻这个视频中的动作姿态，而这个视频就是机器人在行动之前"想象出来"的预演画面，可以用来指导它与真实世 界的交互。这样从想象预演到动作执行的"知行合一"的能力，依托的就是由科研团队自主研发的具身世界模型。 WoW具身世界模型项目算法负责人贾沛东介绍，他们采集了百万级别真实交互的具身智能数据，让世界模型能够在真实非常泛化的 场景下真正去操作。 具身世界模型向全球研究者与开发者开放。可以适配人形、类人形、机械臂等不同本体机器人，覆盖家居、商超、工业、物流等多 种场景。还能高精度模拟水洒在电脑上等极端情况，为真机训练难以实现的数据采集提供重要补充。 WoW具身世界模型项目负责人池晓威介绍，世界模型本质上就是AI模拟人类思考和决策的时候，去进行想象和预测的一个模型。它 需要去生成符合物理规律的未来预测视频，帮助机 ...

Core Viewpoint - The article discusses the evolution of AI from "cognition" to "action," emphasizing the importance of experience-driven control in achieving practical applications in autonomous driving and robotics [5][6]. Group 1: Experience-Driven Control - The transition from traditional mathematical modeling to experience-driven control is highlighted as essential for real-world applications in complex environments [9][10]. - Experience-driven control allows AI systems to learn from historical data, enabling effective decision-making without precise mathematical models [10][11]. Group 2: Embodied Intelligence - The complexity of embodied intelligence is noted, with a focus on its higher dimensionality compared to autonomous driving, requiring advanced understanding and generalization capabilities [12][14]. - The current state of embodied intelligence is compared to the "DeepSeek moment," indicating that while significant progress has been made, a breakthrough akin to ChatGPT has not yet occurred [15][16]. Group 3: World Models - World models are identified as crucial for enabling robots to understand and interact with the physical world, serving as a foundational element for embodied intelligence [21][25]. - The article outlines three primary uses of world models: facilitating a feedback loop with the robot's brain, generating trajectory data, and integrating physical understanding into robot operations [25][26]. Group 4: Future Directions - The need for world models in the industry is emphasized, particularly for enhancing the generalization capabilities of robots in complex environments [28][31]. - The article suggests that the evolution of world models is still in its early stages, with ongoing developments aimed at improving their application in robotic training and task execution [29][30].

Core Insights - The article discusses the evolution of AI from "cognition" to "action," highlighting the transition of Tang Jian from academia to industry, particularly in the fields of autonomous driving and embodied intelligence [1][2] - Tang Jian emphasizes the importance of experience-driven control methods over traditional mathematical modeling in complex environments, suggesting that AI systems can learn from historical data to make effective decisions [4][5] - The concept of a "world model" is introduced as essential for embodied intelligence, enabling robots to understand and predict their environment, thus enhancing their operational capabilities [13][14] Summary by Sections Transition from Academia to Industry - Tang Jian, a former tenured professor, shifted focus to practical applications of AI in industry, particularly in autonomous driving and robotics [1][3] - His experience in various companies, including Didi and Midea, has informed his approach to AI-driven system control [3][6] Experience-Driven Control - The article outlines the difference between traditional control methods and experience-driven approaches, with the latter relying on data and historical experiences rather than precise mathematical models [4][5] - This experience-driven philosophy is evident in autonomous driving applications, where end-to-end control merges perception, planning, and control into a single learning process [6][7] Embodied Intelligence and World Models - Tang Jian argues that embodied intelligence presents a higher complexity than autonomous driving, requiring robots to manage multiple joints and navigate dynamic environments [7][8] - The world model is described as a critical component for robots to understand and interact with the physical world, enabling them to perform tasks that require nuanced understanding and adaptability [14][15] - The article highlights the need for a world model to facilitate the development of robots that can generalize across various tasks and environments, which is crucial for their deployment in real-world scenarios [21][22] Future Directions and Challenges - The discussion includes the potential for world models to achieve a "DeepSeek moment" in embodied intelligence, drawing parallels to breakthroughs in AI performance under limited resources [9][10] - Tang Jian acknowledges the current limitations in data and model architecture, indicating that further iterations and improvements are necessary for the field to progress [2][13] - The article concludes with the assertion that the world model is not just a technical choice but a fundamental requirement for the advancement of embodied intelligence [13][22]

Core Viewpoint - Dongtu Technology (300353) is strategically investing in the embodied robotics sector by acquiring stakes in Shenzhen Zhujidong Power Technology Co., Ltd. and Chengdu Annu Intelligent Technology Co., Ltd., and plans to lead a Series A funding round for Beijing Humanoid Robot Innovation Center Co., Ltd. [2] Group 1: Investment and Strategic Focus - Dongtu Technology's investments encompass hardware manufacturers, software model foundations, and scenario-based companies, highlighting a strong emphasis on ecological collaboration [2] - Zhujidong, founded in 2022, focuses on developing full-size humanoid robots and has attracted investments from top-tier institutions such as Alibaba, JD.com, and NIO Capital [2] - Annu Intelligent, a scenario-based company, has successfully implemented embodied intelligent robots in industrial applications, achieving commercial orders [3][4] Group 2: Technological Development and Applications - Zhujidong's humanoid robot, Oli, can autonomously perform tasks such as tennis ball recognition and retrieval, showcasing advanced motion control technology [3] - Annu Intelligent plays a crucial role in collecting vertical scene data to bridge the gap between robotic technology and practical applications [4] - Dongtu Technology aims to focus on key areas such as motion control and industrial training scenarios through its investments [4] Group 3: Research and Ecosystem Building - The Beijing Humanoid Robot Innovation Center is the first national-local collaborative platform for embodied intelligence, focusing on common technology research and ecosystem development [5] - Dongtu Technology's previous investments in the embodied intelligence sector include the launch of the Hongdao AI robot operating system, which aims to address key technological bottlenecks in domestic robotics [5][6] - The Hongdao Intewell operating system is positioned as the core of the full-stack technology for embodied intelligent robots, supporting diverse intelligent applications [6]

Group 1: Technological Innovations - The third National Skills Competition showcased advanced technologies such as a hydrogen-powered robotic dog capable of navigating complex terrains, with a static endurance of 8 hours and dynamic walking endurance of 5 hours [1] - An AI examination system designed for domestic workers can recognize over 40 dialects in China with an accuracy rate of 99%, facilitating real-time interaction [2] Group 2: Traditional Craftsmanship - The exhibition featured traditional craftsmanship, including the official glazed pottery technique, which is a national intangible cultural heritage, demonstrated by a young artisan who creates intricate pieces using specific clay and firing techniques [3] - A coffee-making demonstration highlighted the growing demand for skilled baristas, with a noted shortage in the market as coffee consumption rises among younger demographics [4] Group 3: Industry Trends - The coffee industry is experiencing rapid growth, leading to a significant demand for barista talent, with educational institutions reporting full enrollment in coffee-related programs [4] - The National Skills Competition included various exhibits showcasing high-tech innovations such as satellite return capsules and domestic chips, alongside interactive projects like AI smart glasses for CPR training [4]

Group 1 - The third National Skills Competition will open on September 19 in Zhengzhou, with the Beijing delegation consisting of 105 participants competing in 96 projects, including mechatronics and industrial 4.0 [1] - This competition is the highest standard national vocational skills event in China, featuring 106 competition projects, including 66 for World Skills selection and 40 for national selection [1][2] - The theme of this year's competition is "Skills Illuminate the Future," highlighting the importance of skill development in the workforce [1] Group 2 - Among the participants from Beijing, 64 are students born after 2000, representing various vocational colleges, with some having prior experience in the competition [2] - The age range of the participants varies significantly, from 17 to 48 years old, showcasing a diverse skill talent pool in Beijing [2] - The Beijing Human Resources and Social Security Bureau emphasizes the contribution of over 3 million skilled workers in the city, with 1.24 million being high-skilled talents [2] Group 3 - The Beijing delegation includes not only students but also workers from enterprises and flexible employment backgrounds, such as a 48-year-old maternity nurse who has enhanced her skills through pre-competition training [3] - A systematic training program was implemented to improve the participants' competitive abilities, focusing on psychological and physical training [3] - The competition will adopt an integrated model of "competition, exhibition, performance, and conference," featuring various activities alongside the skills competition [3] Group 4 - A notable project from the Beijing delegation is "The Animated Epic on Film: The Craft of Celluloid," which combines traditional animation techniques with modern aesthetics, representing a fusion of intangible cultural heritage and vocational education [4]

Group 1 - The event "New Quality Pioneer Future Beijing" showcased Beijing's innovation and development in the robotics industry, highlighting its position as a robotics hub [1] - The event featured visits to companies like Galaxy General, Accelerated Evolution, Songyan Power, and Cloud Trace Technology, demonstrating their achievements and contributions to the robotics sector [1] Group 2 - Galaxy General's Galbot G1 robot won the championship in the pharmaceutical sorting category at the 2025 World Humanoid Robot Games, and the company has received orders for 100 robot retail warehouse stores, with plans for nationwide deployment by the end of the year [2] - The company has established a humanoid robot smart pharmacy solution that can efficiently complete delivery tasks, with new store setups taking only two days [2] - Songyan Power's N2 robot won the free gymnastics championship, and the company emphasizes the importance of Beijing's supportive policies for its success, with a projected 50% revenue growth in the robotics industry for 2024 [3] - Accelerated Evolution's T1 robot helped win all medals in the football events at the competition, showcasing the integration of expertise from various fields to drive humanoid robot applications [4] Group 3 - Cloud Trace Technology has deployed its robots in over 30,000 locations globally, completing over 500 million services in 2024, demonstrating the scalability of its intelligent service ecosystem [4] - Beijing aims to become a global benchmark city for "robot + smart living" solutions, promoting the integration of robotics in public service sectors and enhancing industrial clusters [5]

Group 1 - The "Tiangong" robot, developed by a team associated with the Shenzhen-listed company UBTECH, won the gold medal in the 100-meter sprint at the 2025 World Humanoid Robot Games, marking a significant advancement in robotic capabilities [2] - Shenzhen's innovation journey spans 45 years, evolving from low-end manufacturing to a thriving ecosystem of diverse industries, with an average of approximately 580 patents granted daily [2][11] - The establishment of the Shenzhen Special Economic Zone in 1980 initiated a focus on industrial development, laying the groundwork for future innovation by attracting capital, technology, and labor [3][4] Group 2 - The "Three Comes and One Compensation" model was pivotal in building Shenzhen's industrial base, allowing foreign businesses to provide equipment and materials while local companies handled production [3][4] - By 1994, enterprises operating under the "Three Comes and One Compensation" model accounted for one-third of Guangdong's total, highlighting Shenzhen's role as a burgeoning "world factory" [4] - Companies like China International Marine Containers (CIMC) exemplify the shift from foreign technology reliance to independent innovation, becoming a global leader in container production by 1996 [5] Group 3 - Shenzhen's industrial landscape evolved to include a diverse range of sectors, with significant contributions from state-owned enterprises, enhancing the region's technological capabilities [6][7] - The transition from manufacturing to brand creation marked a second leap in innovation, with local companies like Huawei and DJI establishing themselves as global players [7][8] - Shenzhen's complete industrial chain has attracted high-tech enterprises, fostering an environment conducive to innovation and rapid product development [8][9] Group 4 - The current innovation ecosystem in Shenzhen resembles a "tropical rainforest," where companies collaborate and thrive together, supported by a robust technological infrastructure [10][11] - The government plays a crucial role in nurturing this ecosystem, focusing on creating favorable conditions for innovation through various initiatives, including the development of low-altitude infrastructure [11] - In the first five months of 2025, Shenzhen granted a total of 87,152 patents, reflecting its transformation from a manufacturing hub to a center of technological innovation [11][12]

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]