SIASUN(SZ:300024) Di Yi Cai Jing·2025-11-21 11:30Core Insights - The A2 humanoid robot from Zhiyuan has set a Guinness World Record for the longest distance walked by a humanoid robot, covering 106.286 kilometers from Suzhou Jinji Lake to Shanghai Bund, highlighting its integration into real-world scenarios [1] - The journey faced challenges such as battery replacement logistics and navigating human environments, emphasizing the need for a robust engineering system to support real-world deployment [1][2] Group 1: Technical Challenges - The A2 robot has a battery life of approximately 3 hours when stationary and 2 hours while walking, necessitating a support vehicle for battery replacement during its journey [2] - The robot operates in a "semi-autonomous" mode, equipped with dual GPS for navigation, but still faces challenges in adhering to traffic rules and avoiding obstacles like pedestrians and vehicles [2][3] - The ability to walk steadily in various conditions is a significant engineering challenge, as the robot must perform reliably in non-standard environments [3][5] Group 2: Industry Insights - The development of smaller humanoid robots is progressing, with platforms like BridgeDP Engine enabling rapid learning of movements, thus lowering the barrier for secondary development [4] - Full-sized humanoid robots present greater challenges compared to smaller models, including stability, structural strength, and energy efficiency, which are critical for successful deployment [5] - The industry faces a high maintenance rate for delivered robots, indicating systemic issues that go beyond supply chain problems, necessitating improvements in delivery processes and after-sales support [5] Group 3: Future Considerations - For robots to integrate successfully into outdoor environments, societal infrastructure and regulations, such as designated charging stations and identification systems, will be essential [6] - As robots become more prevalent in commercial applications, the establishment of these infrastructures and rules is expected to evolve over time [6]