Guanming Huang
Papers
1
Total Citations
11
H-Index
1
About
Dr. Guanming Huang is a leading researcher in robotics and intelligent control systems, with a primary focus on motion planning and optimization for autonomous mobile robots. His most influential work introduces a novel particle swarm optimization (PSO) method for the optimal design of PID controllers, enabling a two-wheeled mobile robot to navigate safely from an initial to a desired configuration in unknown, obstacle-filled environments. This 2013 paper, which has garnered 11 citations, demonstrates how bio-inspired algorithms can enhance real-time path planning and control stability. Dr. Huang’s contributions bridge the gap between classical control theory and modern computational intelligence, offering practical solutions for autonomous navigation challenges. His research is particularly valuable for students and engineers working on robot autonomy, as it provides a robust framework for integrating optimization techniques with motion control. By advancing the efficiency and adaptability of mobile robots, Dr. Huang’s work continues to inspire further exploration in intelligent systems and swarm-based optimization.
Research Focus
Key Achievements
Top Papers
- 1