· Awards and Honors · 2 min read

Great News🏆: Two AI Cube Lab Projects Approved as National-Level Innovation Programs

Two undergraduate innovation projects guided by AI Cube Lab — 'Multi-Agent Collaborative Perception and Machining Quality Optimization for Additive Manufacturing Based on High-Dimensional Time-Series Large Models' and 'Domestic PLC Large Model Edge Inference and Full-Stack Intelligent Control for Advanced Manufacturing' — were both approved as National-Level College Students' Innovation and Entrepreneurship Training Program projects, sweeping all slots allocated to the School of Advanced Manufacturing this year.

Two undergraduate innovation projects guided by AI Cube Lab — 'Multi-Agent Collaborative Perception and Machining Quality Optimization for Additive Manufacturing Based on High-Dimensional Time-Series Large Models' and 'Domestic PLC Large Model Edge Inference and Full-Stack Intelligent Control for Advanced Manufacturing' — were both approved as National-Level College Students' Innovation and Entrepreneurship Training Program projects, sweeping all slots allocated to the School of Advanced Manufacturing this year.

Recently, the results of the 2026 College Students’ Innovation and Entrepreneurship Training Program (known as “Dachuang”) were announced, and two projects led by Class of 2024 undergraduates under AI Cube Lab’s guidance were both approved at the national level, sweeping all the Dachuang project slots allocated to the School of Advanced Manufacturing this year.

The two approved projects are “Multi-Agent Collaborative Perception and Machining Quality Optimization for Additive Manufacturing Based on High-Dimensional Time-Series Large Models” and “Domestic PLC Large Model Edge Inference and Full-Stack Intelligent Control for Advanced Manufacturing.” The former focuses on multi-agent collaborative perception and machining quality optimization in additive manufacturing, while the latter centers on large-model edge inference and full-stack intelligent control for domestically-made PLCs. Both projects closely address key technical challenges in intelligent manufacturing with a clear industrial application orientation.

The College Students’ Innovation and Entrepreneurship Training Program is a national-level undergraduate research training initiative designed to engage undergraduates in research practice early and cultivate innovative thinking and engineering capabilities. National-level approval reflects strong recognition from peer experts of a project’s innovation, feasibility, and research value. Having both projects approved at the national level — and sweeping all the slots for the School of Advanced Manufacturing — fully demonstrates the solidity of the laboratory’s system for introducing undergraduates to research and nurturing their growth.

The laboratory will continue to leverage these two Dachuang projects to provide undergraduates with authentic research training experiences, helping them build independent thinking and complex engineering problem-solving skills as the projects progress, laying a solid foundation for their future graduate studies or careers in industry.

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Great News🏆: AI Cube Lab Teams Win Two Second Prizes at Computer Design Contest

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Two undergraduate teams from AI Cube Lab won Second Prize in the Guangdong regional round of the 2026 China Collegiate Computer Design Contest's Artificial Intelligence Application track. The project 'High-Dimensional Time-Series Multi-Agent Collaborative Perception and Defect Diagnosis for FDM Printing' was recommended for the national finals, while 'Domestic PLC Large Model Edge Inference and Full-Stack Intelligent Control for Advanced Manufacturing' was one of only two award-winning entries from Sun Yat-sen University in the AI Practice competition category.