Core Viewpoint - The establishment of the humanoid robot data training center in Shijingshan District represents a significant step towards integrating humanoid robots into daily life and production, addressing key industry challenges and fostering collaboration among various stakeholders [4][6][10]. Group 1: Event Overview - The Open Day event for the humanoid robot data training center was held on August 15, attended by representatives from various academic and research institutions, as well as industry partners [1][3]. - The training center aims to solve three core pain points in the robot industry: insufficient cross-scenario data generality, significant gaps between simulation environments and real scenarios, and a lack of standardized data formats [6][12]. Group 2: Training Center Features - The training center spans 3,000 square meters and includes diverse robotic forms, such as dual-arm lifting robots and wheeled humanoid robots, with a total of 108 robots operational within 22 days of setup [4][6]. - It focuses on ten real application scenarios, including family care, special operations, new retail, and automotive assembly, with an estimated annual output of over one million high-quality multimodal data [6][10]. Group 3: Collaborative Initiatives - The event featured the unveiling of collaborative projects among Shijingshan District, the training center, and various research institutions, focusing on data standardization and testing for humanoid robots [7][9]. - The center integrates advanced technologies and products from over ten companies in the humanoid intelligence industry, creating a comprehensive ecosystem covering perception, decision-making, and execution [9][10]. Group 4: Challenges and Solutions - Key challenges for the integration of robots into daily life include operational capability, generalization ability, and cost control, with a focus on generating real machine data to overcome these barriers [12][14]. - The "RealBOT" open-source platform was introduced to facilitate high-quality data collection, marking a shift towards a new model of human-robot collaboration [14][15]. Group 5: Future Directions - The center will continue to strengthen collaboration among industry, academia, and research to foster a shared innovation ecosystem, promoting high-quality development in the humanoid robot industry [17].