UBTech Unveils Robotic Teamwork in Car Manufacturing with AI and LLM Technology

Monday, 3 March 2025, 12:00

UBTech has pioneered the use of humanoid robots in car manufacturing, showcasing groundbreaking AI and large language model capabilities. These robots efficiently undertake complex tasks in the Zeekr EV factory, signaling a significant advancement in automation. With autonomous coordination freshly demonstrated, the future of manufacturing technology is more promising than ever.
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UBTech Unveils Robotic Teamwork in Car Manufacturing with AI and LLM Technology

UBTech's Robotic Innovation

Shenzhen-based UBTech Robotics has achieved a remarkable milestone by employing dozens of humanoid robots at the Zeekr electric vehicle factory in Ningbo, China. This deployment marks a significant step toward redefining the manufacturing landscape through artificial intelligence (AI) and robotics. The Walker S1 robots exhibit impressive multitasking capabilities as they collaborate on intricate operations, shedding light on future possibilities in manufacturing.

Multimodal Reasoning and Coordination

Utilizing a multimodal reasoning model based on DeepSeek's open-source LLM model R1, UBTech's robots can autonomously break down, schedule, and coordinate tasks. This innovation enhances their interaction and teamwork, ensuring efficient operations within diverse workshops including *assembly*, *instrument testing*, and *quality control*.

  • Robots work together to lift and transport heavy items.
  • Ability to perform delicate operations with precision.
  • Training data sourced from multiple automotive plants.

Industry Implications

As UBTech continues to foster robot collaboration, the company aims to expand its partnerships with leading manufacturers including Geely Auto and FAW-Volkswagen. The successful use of these humanoid robots not only boosts manufacturing efficiency but also indicates a broader trend towards automation in the automobile industry.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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