Jianchao Zeng

Taiyuan University of Science and Technology

Papers

Total Citations

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About

Jianchao Zeng is a researcher whose work sits at the intersection of swarm intelligence, robotics, and optimization algorithms. His research focuses primarily on swarm robotic systems and the application of particle swarm optimization (PSO) techniques to coordinate distributed robotic search tasks. Zeng has made notable contributions to understanding how algorithmic parameters and communication modes influence the emergent intelligent behavior of robotic swarms, providing valuable insights for the design and control of multi-robot systems. Among his key works, his 2010 study on the effects of algorithmic parameters on swarm robotic search and his 2014 investigation into communication modes both contribute foundational knowledge to the field, each accumulating 3 citations. A particularly significant thread in his research is the development and application of the Extended Particle Swarm Optimization (EPSO) model, which adapts classical PSO principles to real-world distributed robotic environments, exploring both synchronous and asynchronous communication strategies to optimize collective search performance. While his citation counts remain modest, Zeng's work addresses fundamental questions in swarm robotics that are increasingly relevant as autonomous multi-agent systems become more prevalent in industrial, exploratory, and scientific applications.