Chinese Robotics Companies Face Challenges with Data and AI Development
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- SCMPTech
At the World Artificial Intelligence Conference (WAIC) in Shanghai, experts highlighted the challenges faced by Chinese robotics companies in enhancing their robots' real-world interactions. Industry insiders noted that a lack of sufficient data and advanced AI capabilities, referred to as a better 'brain', hinder the development of embodied AI systems.
Wang Xiaogang, co-founder of SenseTime and chairman of Ace Robotics, emphasized the need for a closed-loop iterative system that integrates hardware, data, models, and real-world scenarios. He pointed out that while training data is collected from human demonstrations, the optimization of hardware design and data-collection methods is essential for improving embodied AI performance.
Yao Maoqing from AgiBot also mentioned that the available multi-modal data about the physical world is inadequate compared to that used in large language models. This shortfall presents a significant bottleneck in training world models, which are crucial for the next generation of humanoid robots to effectively navigate their environments. No further timeline was disclosed at the time of publication.
Original report
Chinese robot makers’ lament: if we only had a better ‘brain’, and more data
SCMPTech · Wency Chen,Iris DengThis briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
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