Min Zhao

Nanjing University of Aeronautics and Astronautics

Papers

Total Citations

H-Index

About

Dr. Min Zhao is a pioneering researcher in the field of swarm intelligence and robotics, with a primary focus on bio-inspired optimization algorithms for autonomous navigation. Her most influential work addresses the critical challenge of robot path planning using the Artificial Bee Colony (ABC) algorithm, a problem that has long stymied researchers due to the inherent difficulties of variable path nodes and complex neighborhood construction. Dr. Zhao’s key contribution lies in her elegant solution to these obstacles: by fixing the start and end nodes and establishing a maximum number of path nodes, she transformed the ABC algorithm into a practical, efficient tool for robotic trajectory generation. This foundational paper, published in 2009, has garnered 6 citations, serving as a cornerstone for subsequent studies in swarm robotics and autonomous systems. Her work bridges the gap between theoretical swarm intelligence and real-world robotic applications, offering a scalable framework that continues to inspire new generations of researchers in optimization and motion planning. Dr. Zhao’s research remains a vital reference for those seeking to harness nature-inspired algorithms for complex engineering challenges.