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DeepX and Doosan Robotics Joint Development of AI Welding Solution for Nuclear Power Plants
Selected for Ministry of Trade, Industry and Energy Robot Industry Technology Development Program, Commercialization by 2030
DeepX and Doosan Robotics are moving forward with the development of an intelligent welding solution that combines AI, collaborative robots, and on-device neural processing units (NPU) to address the shortage of skilled welding personnel at nuclear power plant manufacturing sites. The two companies plan to form a four-party consortium with SAIGE and Changwon National University's Industry-Academic Cooperation Division to promote automation and intelligence of nuclear power plant manufacturing processes.
DeepX and Doosan Robotics announced on the 6th that they have been selected for the Ministry of Trade, Industry and Energy's "2026 Robot Industry Technology Development Program" project along with SAIGE and Changwon National University's Industry-Academic Cooperation Division, and are proceeding with joint research and development.
The four institutions signed a Memorandum of Understanding (MOU) on July 21st and established a joint development system.
The Korea Institute of Industrial Technology Planning and Evaluation (KEIT) is supporting the project, and staged demonstrations will be conducted at Doosan Enerbility's nuclear power plant equipment manufacturing sites.
Doosan Robotics, as the lead research and development institution, is responsible for overall consortium coordination and system integration architecture design.
Key tasks include development of collaborative robot welding cells, micro-displacement compensation AI, and real-time welding machine control technology.
DeepX will develop domestic NPU-based on-device edge AI devices and software development kits (SDK), and will be responsible for building three-channel vision data pipelines, developing thermal imaging analysis AI models, and validating environmental durability.
SAIGE will develop 3D vision-based welding target recognition and welding path correction, as well as welding bead anomaly detection AI models, while Changwon National University's Industry-Academic Cooperation Division will handle AI-based welding path generation and physics-based digital twin technology.
The four institutions plan to integrate the technologies each developed into a single intelligent welding system, conduct on-site demonstrations, complete nuclear power plant equipment quality verification by 2029, and achieve commercialization from 2030 onwards.
DeepX stated that this project "will contribute to establishing an AI computing environment capable of efficiently processing AI operations required at manufacturing sites based on NPU and on-device AI technology and reliably operating."
A Doosan Robotics official said, "We will expand automation and intelligence of welding processes by combining collaborative robot technology with the AI technology of participating institutions."
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