Wang Fei

Foshan University, Beijing University of Posts and Telecommunications

Papers

Total Citations

H-Index

About

Wang Fei is a researcher whose work lies at the intersection of robotics, optimization algorithms, and human-robot interaction. Her key research areas include robot path planning, teleoperation systems, and enhanced reality interfaces. One of her most significant contributions is the development of a hybrid meta-heuristic approach that combines particle swarm optimization (PSO) with grey wolf optimization (GWO) to improve robot navigation safety and efficiency. This work, published in 2021, has already garnered 11 citations, reflecting its growing influence in the field of autonomous robotics. Earlier, Wang Fei made notable strides in teleoperation technology with her 2009 paper on a system design for a binocular vision-based testing platform, which integrates enhanced reality to improve remote robot control. This foundational work, with 6 citations, helped advance internet-based teleoperation systems. Her research demonstrates a clear trajectory from foundational teleoperation frameworks to cutting-edge optimization methods, showcasing her ability to address both practical engineering challenges and theoretical algorithmic improvements. Wang Fei’s work is particularly valuable for researchers exploring safe, efficient, and intuitive robot control systems.