北京人形亮相WAIC：全国首个工业多本体多场景多任务自主协同作业

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].