Papers
2
Total Citations
36
H-Index
2
About
Yiwei Fan is a leading researcher in robotics and intelligent manufacturing, with a core focus on the trajectory optimization of construction robots operating in complex, uncertain environments. Dr. Fan’s major contributions lie in developing advanced multiobjective optimization frameworks for wall-building robots, addressing the critical trade-offs between energy consumption, contact forces, work efficiency, and masonry quality. In their seminal 2023 work, "Trajectory optimization of wall-building robots using response surface and non-dominated sorting genetic algorithm III" (22 citations), Fan introduced a novel approach that balances competing performance metrics. This was further advanced in their highly regarded paper, "Multiobjective trajectory optimization of the wall‐building robot based on RBF–NSGA‐II in an uncertain viscoelastic contact environment" (14 citations), where they tackled the challenge of maintaining smooth, high-quality masonry while minimizing energy and contact forces in unpredictable conditions. By integrating response surface methodology and radial basis function networks with genetic algorithms, Fan has established a robust theoretical and practical foundation for autonomous robotic construction. Their work is pivotal for the next generation of adaptive, efficient, and reliable construction robots, directly impacting the future of automated building technologies.
Research Focus
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Top Papers
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