Mingyue Zhong
Papers
1
Total Citations
11
H-Index
1
About
Mingyue Zhong is a robotics researcher whose work centers on the locomotion and control of specialized mobile robots, with a particular focus on wall-climbing and gait trajectory planning. Their most cited paper, "Research on Gait Trajectory Planning of Wall-Climbing Robot Based on Improved PSO Algorithm" (2024, 11 citations), introduces a novel optimization approach that enhances the stability and efficiency of robots navigating vertical surfaces. By applying an improved Particle Swarm Optimization algorithm to gait planning, Zhong addresses critical challenges in adhesion and motion coordination for climbing robots, contributing to safer and more reliable designs for inspection, maintenance, and exploration tasks in hazardous environments. This work demonstrates a strong intersection of bio-inspired robotics and computational intelligence. While early in their career, Zhong’s research has already attracted attention for its practical implications in industrial automation and infrastructure monitoring. Their contributions are paving the way for more adaptive and intelligent robotic systems capable of operating in complex, unstructured terrains.
Research Focus
Key Achievements
Top Papers
- 1