专访北京人形机器人创新中心唐剑：人形机器人产业落地必须“全自主”

Core Viewpoint - The article highlights the advancements in autonomous navigation technology for humanoid robots, particularly focusing on the "Embodied Tiangong Ultra" robot, which achieved significant milestones in recent competitions without human control, indicating a shift towards full autonomy in robotics [1][2][3]. Group 1: Competition Achievements - The "Embodied Tiangong Ultra" robot won the 100-meter race with a time of 21.50 seconds and secured silver medals in both the 400-meter and 1500-meter events at the recent robotics sports event [1]. - In a previous half-marathon competition, the same robot also claimed victory, showcasing its evolving capabilities in autonomous navigation [2]. Group 2: Technological Advancements - The removal of remote control and the implementation of full autonomous navigation are deemed necessary for the industrial application of robots, allowing them to explore new environments independently [3][8]. - The CTO of the Beijing Humanoid Robot Innovation Center, Tang Jian, emphasized that the current demonstration of autonomous navigation is just a small part of a comprehensive solution, with future developments expected to enhance capabilities further [2][9]. Group 3: Industry Challenges - Achieving full autonomous navigation presents significant challenges due to the complexity of environments robots may encounter, requiring advanced algorithms for real-time mapping and obstacle avoidance [11][12]. - The industry currently lacks a consensus on the capabilities of humanoid robots, with many companies still relying on remote control, which hinders the potential for widespread adoption [19][20]. Group 4: Future Prospects - The expectation is that more companies will adopt full autonomous navigation in future competitions, indicating a potential industry-wide shift towards this technology [17]. - The article suggests that the humanoid robot industry is at a critical juncture, with the need for improved algorithms and models to enhance the generalization capabilities of embodied intelligence [21][22].