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02:04
China: China's humanoid robots evolve with technological, data breakthroughs
Shanghai, China - Recent Advances in robotics algorithms and the accumulation of data have enabled China's humanoid robots to rapidly evolve, progressing from being able to quickly recover from falls to playing a crucial role in various practical applications. A recent algorithm developed by the Shanghai Artificial Intelligence Laboratory, in collaboration with institutions including Shanghai Jiao Tong University, allows humanoid robots to rise quickly and stably from various positions. Imitating human movement is a vital path for robots to acquire skills. The laboratory has developed a new remote operation system for data collection, which includes exoskeletons for the upper limbs and pedals for the lower limbs, enabling robots to precisely replicate the operator's movements. Data is crucial for training large models. AgiBot, an innovative company dedicated to developing AI-powered robots, has a 2,000-square-meter data collection center, where 100 humanoid robots are currently undergoing a range of training exercises. The center has made over one million pieces of training data publicly available. Unlike typical language models, which can rely on the vast amounts of text data already available online, humanoid robots face a shortage of real-world data. For example, performing a simple task like pouring milk requires nearly 100 high-quality data points. Shotlist: Shanghai, China - Recent: 1. Various of humanoid robot standing up in various scenarios; 2. Reporter competing with humanoid robot in standing speed challenge; 3. Humanoid robot; 4. SOUNDBITE (Chinese) Pang Jiangmiao, scientist, Shanghai Artificial Intelligence Laboratory (starting with shot 3/partially overlaid with shot 5/ending with shot 6): "We are likely the first in the world to have developed an algorithm capable of standing up on generalizable terrain and arbitrary terrain. Previously, robots could only rise from fixed terrains in fixed postures with fixed procedure. Our technology, which advances through interaction, now allows them to stand up across various scenarios and terrains with various postures."; [SHOT OVERLAYING SOUNDBITE] 5. Humanoid robot training on slope; [SHOT OVERLAYING SOUNDBITE] 6. Various of training in progress; 7. Various of robot imitating human movements, training in progress; 8. SOUNDBITE (Chinese) Ben Qingwei, joint PhD student, Shanghai Artificial Intelligence Laboratory (starting with shot 7/ending with shot 9): "This system allows a single operator to control both the upper and lower limbs of the humanoid robot, improving the efficiency of data collection. In the future, it is hoped that this cockpit could be used in hazardous environments, such as fire or toxic gas areas, where operators can remotely control robots."; 9. Various of robot imitating human movements, putting flower bundle in box; 10. Various of training in progress; 11. SOUNDBITE (Chinese) Yao Maoqing, executive president Research Development, AgiBot (starting with shot 11): "We've designed multiple large categories of scenarios, including home, retail and service, and industrial settings. The data collected from these varied scenarios will be gathered to train our robots' large models."; 12. Various of robot pouring milk, imitating human movements, doing chores; 13. SOUNDBITE (Chinese) Yao Maoqing, executive president Research Development, AgiBot (starting with shot 12): "At the end of December last year, we released a dataset of one million robot trajectories to the public, hoping to advance progress in embodied intelligence in both academic and industrial fields. Going forward, we will continue to optimize costs, including the overall cost of robots, and improve the efficiency of data collection."; 14. Various of humanoid robots. [Restriction - No access Chinese mainland]
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