Core Insights - The forum on "Embodied Intelligence Technology and Applications" was successfully held during the 2025 World Robot Conference, organized by the Beijing Humanoid Robot Innovation Center [1] - Four core achievements in embodied intelligence were officially released, which include: 1) Embodied World Model System; 2) Cross-ontology VLA (Vision-Language-Action) Model; 3) Humanoid Robot Full-body Control Autonomous Navigation System; 4) Data Collection Plan for a Thousand Robots in Real Scenarios [1] - These innovations collectively form a technological closed loop that addresses key challenges in robot applications, including perception, decision-making, and execution [1]

Core Viewpoint - The article discusses the significant advancements in embodied intelligence technology and its transition from technical breakthroughs to practical applications, highlighted during the "Embodied Intelligence Technology and Application Forum" held at the World Robot Conference 2025 [2][4][26]. Group 1: Key Innovations - The forum introduced four core achievements in embodied intelligence: the "Embodied World Model System," the "Cross-Entity VLA Model," the "Full-Body Control Autonomous Navigation System," and the "Thousand Robot Real-Scene Data Collection Plan," which collectively form a technological loop from "most capable" to "most usable" robots [5][10][12]. - The "Embodied World Model System" includes a 72B multimodal model that enhances robots' understanding of reality and predictive capabilities, outperforming existing models like GPT-4o and Gemini flash 2.0 in various benchmarks [6][9]. - The "Cross-Entity VLA Model" XR-1 enables a single model to operate across different entities and scenarios, significantly reducing development costs and time for embodied intelligence applications [8][11]. Group 2: Practical Applications - The "Full-Body Control Autonomous Navigation System" addresses the challenges of mobility and operational coordination, allowing robots to navigate and perform tasks effectively in real-world environments [10][13]. - The "Thousand Robot Real-Scene Data Collection Plan" aims to gather multimodal interaction data from robots operating in diverse industrial settings, enhancing the training material for embodied intelligence models [12][16]. Group 3: Industry Collaboration - The forum facilitated partnerships between Beijing Human Shape and various industry leaders and research institutions, aiming to bridge the gap between embodied intelligence technology and real-world applications [22][23]. - Experts from different fields discussed the critical challenges and future development paths for embodied intelligence, emphasizing the need for standardized and replicable technological transitions to achieve large-scale implementation [14][22]. Group 4: Future Outlook - The continuous breakthroughs in core technologies and the expansion of application scenarios are expected to lead to the large-scale implementation of embodied intelligence, providing essential support for manufacturing upgrades and the development of the smart economy [26].

Group 1 - The 2025 World Robot Conference was held in Beijing from August 8 to 12, focusing on making robots smarter and bodies more intelligent, marking the tenth anniversary of the event [1] - The global robotics industry has experienced significant growth over the past decade, with China's robotics industry revenue increasing by 27.8% year-on-year in the first half of this year, and production of industrial and service robots rising by 35.6% and 25.5% respectively [1] - Beijing's robotics industry is among the top in the country, with humanoid robot industry accounting for about one-third of the national scale, and a nearly 40% revenue growth in the first half of this year [1] Group 2 - During the conference, Beijing announced new initiatives to promote the commercialization of embodied intelligence, including the release of a social experiment plan and a set of supportive policies for innovation in embodied intelligent robots [3] - The new policies include annual financial support of up to 30 million yuan for enterprises, focusing on key areas such as technology collaboration, data element trials, and application scenario promotion [3] - The conference featured the release of four core achievements in embodied intelligence, including a comprehensive control system for humanoid robots and a real-world data collection plan involving a thousand robots [3] Group 3 - The Beijing Humanoid Robot Innovation Center is transitioning from pursuing extreme mobility to supporting complex system-level applications, emphasizing usability over mere performance [4] - The conference showcased a variety of humanoid robots and innovations, with a focus on practical applications such as power inspection and material sorting [4] - The establishment of humanoid robot and embodied intelligence innovation centers aims to compress the commercialization timeline from 25 years to approximately 10 years, emphasizing resource concentration and open collaboration [5]

Core Viewpoint - The forum highlighted the significant progress of embodied intelligence technology transitioning from technical breakthroughs to industrial applications, emphasizing the need for robots to be not only capable but also practical in real-world scenarios [2][23]. Group 1: Key Innovations - The "Embodied World Model System" was introduced, featuring a 72B multimodal model that enhances robots' understanding of reality and predictive capabilities [4][7]. - The "Cross-Entity VLA Model" XR-1 was launched, enabling a single model to operate across different entities and adapt to various scenarios and skills [6][9]. - The "Humanoid Robot Full-Body Control Autonomous Navigation System" was unveiled, addressing the challenges of mobility and operational coordination [8][11]. - The "Thousand Robot Real-Scene Data Collection Plan" was initiated to gather extensive multimodal interaction data from real industrial environments, enhancing model training and iteration [10][13]. Group 2: Industry Collaboration - The forum facilitated partnerships between Beijing Humanoid and several key industry players, including Baidu Smart Cloud and China Electric Power Research Institute, to promote the practical application of embodied intelligence technology [21][24]. - A simulation training platform was launched to address the industry's lack of standardized simulation data, providing a high-fidelity training environment for developers [21][24]. Group 3: Future Prospects - The continuous breakthroughs in core technologies and the expansion of application scenarios are expected to lead to the large-scale implementation of embodied intelligence, significantly supporting the development of the manufacturing and intelligent economy [23][24].

Core Insights - The Beijing Humanoid Robot Innovation Center unveiled four core achievements in embodied intelligence at the 2025 World Robot Conference, marking a shift from technological breakthroughs to industrial practicality [1][2] - The "Embodied World Model System" serves as the core brain for robots, enabling them to understand reality and predict changes, featuring a 72B multimodal large model and a neural network-driven world simulator [1] - The "Cross-ontology VLA Model" allows for flexible adaptation of robots across multiple ontologies and scenarios, demonstrating robust generalization capabilities and significant potential for rapid skill acquisition [1][2] Industry Challenges - Current VLA models face challenges such as action prediction difficulties, significant differences in robot ontology, data incompatibility, and weak task generalization [2] - The direct mapping of image pixel space to robot operation space presents optimization challenges and prediction inaccuracies, complicating the application of models across different robot configurations [2] Data Collection Initiative - The "Thousand Robot Real Scene Data Collection Plan" aims to enhance core capabilities by deploying robots in real industrial environments, collecting multimodal interaction data during actual operational tasks [2] - This initiative contrasts with laboratory settings, as real-world environments introduce variability and unexpected conditions, providing richer training material for embodied intelligence models [2] Future Outlook - Industry experts agree that industrialization is essential for the development of embodied intelligence, emphasizing the need for a standardized and replicable technological leap to achieve scalable implementation [2]