北京人形机器人创新中心：以丰硕开源成果引领产业变革

Core Insights - The embodied intelligence industry is currently in an acceleration phase, integrating various cutting-edge disciplines such as artificial intelligence, mechanical engineering, sensors, new materials, and brain science, with open-source ecosystems being crucial for innovation [1][6] - The Beijing Humanoid Robot Innovation Center focuses on key technology breakthroughs and industry ecosystem development, utilizing the open-source general robot platform "Tiangong" and the large-scale multi-configuration intelligent robot dataset and benchmark "RoboMIND" [1][2] Group 1: Open-source Initiatives - The "Tiangong" platform is the world's first full-size electric humanoid robot capable of running, achieving an average speed of 10 km/h and a maximum speed of 12 km/h, while maintaining stable movement across various complex terrains [2][4] - The open-source community for "Tiangong" was launched in April 2025, featuring blogs, forums, technical documentation, open-source project showcases, and more, aimed at fostering global collaboration and accelerating technological breakthroughs in the embodied intelligence industry [1][6] Group 2: Collaboration and Development - Over a hundred partners have developed applications based on the "Tiangong" platform, leading to the emergence of capable robotic products like "Tiangong Walker" [4] - The RoboMIND dataset has been downloaded over 15,000 times from various platforms, including contributions from top universities and research institutions, indicating its significance in training embodied models [4][5] Group 3: Recognition and Awards - The RoboMIND dataset received the "Best Open Source Intelligent Breakthrough Award" at the OS2ATC 2025 conference and the "2025 Annual Dataset Construction Award" from leading industry organizations, highlighting its impact in the field [5] Group 4: Future Directions - The Beijing Humanoid Robot Innovation Center plans to continue open-sourcing a series of algorithms and tools related to embodied intelligence, including frameworks for reinforcement learning and various models, to further enhance the industry ecosystem [6] - The center aims to leverage open innovation to address common technological challenges and activate a global innovation network, contributing to the evolution of embodied intelligence towards generalization [6]