Tag: Undergraduate Training

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 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.

The three-member undergraduate team from the AI Cube Laboratory (Yin Size, Wu Honghui, Zheng Hao) fought tirelessly for three days and nights in the 2025 National Undergraduate Mathematical Contest in Modeling, standing out and ultimately winning the Guangdong Province First Prize!