Yixin Yan

East China University of Science and Technology

Papers

Total Citations

119

H-Index

About

Yixin Yan is a researcher specializing in robotic path planning and intelligent optimization, with a particular focus on advancing the efficiency and autonomy of welding robotics systems. Yan's work sits at the intersection of industrial automation and computational intelligence, applying sophisticated algorithms to solve complex real-world manufacturing challenges. Among Yan's most significant contributions is the development of intelligent path planning strategies for spot welding robots, a 2019 study that has garnered 68 citations and stands as a cornerstone reference in the field. This work, alongside earlier research on discrete elite Particle Swarm Optimization (PSO) for welding robot path optimization (2016, 24 citations), demonstrates a sustained commitment to refining how robots navigate industrial environments more effectively. Yan's 2017 study on collision-free path optimization further addressed critical safety and efficiency concerns, treating obstacle avoidance as a primary constraint while minimizing path length — earning 23 citations from peers building upon these foundations. Expanding into multi-robot systems, Yan also explored time-optimal coordination strategies for dual-welding robots, reflecting a broader vision for scalable industrial automation. Collectively, Yan's research has meaningfully shaped modern approaches to intelligent robotic motion planning in manufacturing contexts.