Yunlong Zan

Taiyuan University of Science and Technology

Papers

Total Citations

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About

Yunlong Zan’s research lies at the intersection of swarm robotics, group decision-making, and target localization, with a focus on enhancing the efficiency of autonomous search operations. His major contributions center on integrating collective intelligence mechanisms into robotic swarms, enabling robots to coordinate and adapt their behaviors based on shared environmental knowledge. In his 2012 work, “Group Decision Making Aided PSO-type Swarm Robotic Search,” Zan demonstrated how combining received signal strength indicator (RSSI) data from wireless sensor networks with particle swarm optimization (PSO) can accelerate target localization, reducing communication overhead and search time. This paper has garnered 10 citations, reflecting its foundational role in swarm-based search strategies. Further advancing this line of inquiry, his 2012 study “Target Position Estimation Aided Swarm Robotic Search under Conditions of Relative Localization Mechanism” explored how robots can leverage both individual knowledge and group experience—specifically, the best-performing robot’s insight—to improve search speed in challenging environments such as sea-based operations. Though cited 4 times, this work underscores Zan’s commitment to practical, scalable solutions for real-world robotic search challenges. His research offers valuable frameworks for students and engineers working on autonomous systems, distributed intelligence, and sensor-driven robotics.