Yihan Sun
Papers
1
Total Citations
3
H-Index
1
About
Yihan Sun’s research centers on intelligent optimization algorithms and their application in robotic path planning, with a particular focus on manufacturing efficiency. Her most cited work, “Path Planning of Welding Robots Based on Developed Whale Optimization Algorithm” (2021, 3 citations), introduces an enhanced metaheuristic approach to solve the Traveling Salesman Problem (TSP) for welding spot sequences. By modeling the layout of 14 welding points as a TSP and proposing a refined whale optimization algorithm, Sun demonstrates how bio-inspired computation can reduce motion time and energy consumption in industrial robotics. Though her citation count is early-stage, this contribution addresses a practical bottleneck in automated welding—a critical process in automotive and aerospace manufacturing. Sun’s work bridges algorithmic theory and real-world engineering, offering a scalable solution for multi-spot welding tasks. Her research signals a promising trajectory in optimization-driven robotics, where even modest improvements in path efficiency can yield significant cost savings in high-volume production.
Research Focus
Key Achievements
Top Papers
- 1