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Robot competition show "skills" science fiction "full" and artificial intelligence decodes a new future from blueprint to real scene
2025-05-14 source:CCTV.com

CCTV News: On the 25th, the first Embodied Intelligent Robot Games kicked off in Wuxi, Jiangsu. Robots entered the venue neatly and showed their magical powers, leading the audience into an intelligent world full of science fiction. Let's take a look together.

Robot competition showcases "skills" and intelligent technology shows "magic powers"

Walking into the sports venue, the atmosphere is relaxed and novel. Yuanluobu AI robots who can play chess, exoskeleton robots who help people "walk", elderly care robots who chat with the elderly, and multi-functional robots who can dive and explore, make coffee, and grill and grill all have become "stars". Citizens lined up to experience interesting challenges such as "human-machine chess king competition" and "poetry and rhythm competition".

From blueprint to real scene Decoding the new future of artificial intelligence

It is not enough for robots to just "run and jump", they have to be able to work." As the leader of Wuxi's "humanoid robot" industry, last year, the automation engineering company in Wuxi built the first robot training base in China to refer to the operating conditions of automobile manufacturing, allowing robots to "practice their skills" according to the actual needs of automobile factories, that is, to collect robot operation data by simulating the production process of automobile factories. In the future, these robots may "enter" car factories and work with workers to build cars.

Guo Dahong, deputy general manager of the humanoid robot business department of a certain automation engineering company, said: "Algorithms are the most core technology that supports embodied intelligence. If you want to do a good job of application, you must collect and accumulate industrial knowledge. Therefore, we plan to build some practical industrial scenarios, conduct data acquisition and training of robots, and then optimize the algorithms to meet the application requirements of industrial scenarios and do a key technical process for the application of robots to the "last mile" in the factory."

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