Papers
3
Total Citations
64
H-Index
3
About
Wei Zu’s research centers on intelligent path planning and obstacle avoidance for mobile robots, with a particular focus on dynamic and complex environments. His major contributions lie in adapting swarm intelligence algorithms—specifically particle swarm optimization (PSO)—for real-time robotic navigation. In his highly cited 2007 paper (31 citations), Zu introduced a polar coordination PSO (PPSO) method that decomposes path planning into global and local stages, enabling robots to navigate dynamic settings effectively. He further refined this approach in 2009 (10 citations) by addressing premature convergence and diversity loss in PSO, ensuring more robust obstacle avoidance. More recently, Zu’s 2023 work (23 citations) developed an improved A* algorithm tailored for spherical robots, uniquely incorporating energy consumption as a key optimization criterion—critical for robots operating on challenging terrains like swamps and deserts. Collectively, his work bridges theoretical optimization with practical robotics, offering efficient, real-time solutions that have influenced subsequent research in autonomous navigation. Zu’s sustained focus on algorithm innovation and real-world applicability marks him as a notable contributor to the field of mobile robotics.
Research Focus
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