XCMG Competition Showcases AI Projects for Construction Machinery
International companies and universities won awards at an XCMG co-organized competition for AI applications in construction machinery, including electric mining equipment, predictive maintenance and automated earthwork monitoring. The event brought together more than 2,750 teams from over 20 countries and regions.
- VA Erzberg GmbH won first prize for an electric mining truck project.
- SmartFleet UZ is designed to predict equipment failures and assist operators.
- TerraSight AI monitors earthwork progress and volumes automatically.
- More than 2,750 teams registered from over 20 countries and regions.
- XCMG will connect selected teams with funding, partners, talent and suppliers.
International teams take top awards
The 15th China Innovation & Entrepreneurship Competition, AI + Construction Machinery Division, concluded in Xuzhou on Oct. 30. XCMG co-organized the division, which focused on applying artificial intelligence to construction machinery and operations.
Austria's VA Erzberg GmbH won first prize in the Customer Co-Creation track for an electric mining truck project. Fortescue Trading Shanghai received second prize in the same track for a project that uses real-world mining experience to optimize the full lifecycle of next-generation zero-emission mining equipment.
Urgench State University in Uzbekistan won third prize in the Professional Contest's Team Group, AI + Product category, for SmartFleet UZ. The platform is designed to predict equipment failures and assist operators of UzXCMG construction machinery.
Projects target products and worksite operations
Indonesia's Manado State Polytechnic received third prize in the Team Group's AI + Worksite Scenarios category for TerraSight AI. The system is designed to automatically monitor earthwork progress and volumes.
Germany's RWTH Aachen University received an Excellence Award in the Team Group's AI + Product category for a solution designed to adapt autonomous mining trucks to multiple operating scenarios. Together, the awarded projects cover equipment electrification, maintenance support, worksite monitoring and autonomous vehicle operation.
The competition received more than 1,600 project submissions. After preliminary and semifinal rounds, 106 projects advanced to the finals.
XCMG plans to support commercialization
Six projects selected through the competition's Open Challenge track and four commercialization projects were covered by agreements signed at the closing event. XCMG said it will continue connecting competition teams with funding sources, industry and research partners, talent and suppliers to help bring their innovations to market.
“Through this competition, we aim to turn real industry needs into innovation challenges and bring partners together to solve technical problems in construction machinery,” Yang Dongsheng, chairman of XCMG Group and XCMG Machinery, said in the company announcement.
Yang identified embodied intelligence as a key area for development. According to XCMG, the company plans to use its innovation platforms, testing resources and industry funds to bring AI innovations to worksites and serve customers worldwide. For users and the wider construction machinery market, the event signals a focus on taking AI projects beyond competition demonstrations and toward equipment, maintenance and operational applications, although the announcement does not provide commercialization dates or availability details.
