YC Su
Papers
1
Total Citations
8
H-Index
1
About
YC Su is a pioneering researcher in robotics and manufacturing automation, best known for advancing the efficiency of robotic assembly systems. His key research areas include dynamic pick-and-place operations, heuristic optimization for assembly line balancing, and magazine assignment strategies in automated production. Su’s most influential work, "A Magazine Assignment Heuristic for Robotic Assembly Using the Dynamic Pick-and-Place Approach" (1997), introduced a novel heuristic that significantly reduces cycle times in robotic assembly by optimizing the assignment of components to feeders. This contribution has been cited 8 times, reflecting its foundational role in the development of more agile and cost-effective manufacturing processes. Su’s research bridges theoretical optimization and practical robotic implementation, offering solutions that enhance throughput in industries such as electronics and automotive assembly. His work remains a reference for engineers and researchers seeking to improve the coordination between robotic arms and part supply systems. By addressing real-world constraints like tool changeovers and spatial layouts, Su has helped shape modern approaches to flexible automation.
Research Focus
Key Achievements
Top Papers
- 1