Core Insights - The Human-Robot Data Training Center in Shijingshan officially opened, focusing on addressing key challenges in the robotics industry, including data generalization across scenarios, discrepancies between simulation and real environments, and the lack of standardized data formats [1][2] - The center is equipped with 108 diverse robots and aims to produce over one million high-quality multimodal data entries annually, emphasizing the importance of real-world data for advancing robotics [2] Group 1 - The training center spans 3,000 square meters and features various robot types, including dual-arm lifting robots and wheeled humanoid robots, designed for ten real-world application scenarios [2] - The center's operations are supported by multiple academic and research institutions, showcasing a collaborative approach to innovation in the robotics sector [1] - The "RealBOT" open-source platform was introduced, aimed at high-quality data collection and enhancing human-robot collaboration through integration with remote work platforms [2] Group 2 - The center's establishment reflects the "Shijingshan efficiency," having transitioned from a basic setup to operational robots in just 22 days [1] - The focus on real machine data is seen as essential for overcoming the fundamental bottleneck in intelligent robotics development, moving beyond simulation and small-scale trials [2] - The initiative aims to create a shared ecosystem for technology, data, and business, promoting innovation and collaboration within the industry [1]
石景山人形机器人数据训练中心:打造具身智能训练场“中国方案”