Guangming Han
Papers
1
Total Citations
11
H-Index
1
About
Guangming Han is a robotics researcher whose work focuses on intelligent navigation and autonomous systems, particularly for mobile robots operating in complex, unstructured environments. His most cited paper, “A wall-following algorithm based on dynamic virtual walls for mobile robots navigation” (2017, 11 citations), introduces a novel approach that uses dynamic virtual walls to guide robot movement, enabling safer and more efficient navigation in tasks like intelligent inspection, security patrol, and venue service. This work addresses a fundamental challenge in robotics—how to maintain reliable, adaptive behavior in changing surroundings—and has been recognized for its practical utility in real-world applications. Han’s contributions lie at the intersection of sensor-based control and environmental perception, offering solutions that enhance robot autonomy without requiring extensive prior mapping. While his citation count reflects a growing interest in his methods, his research is particularly valued for its emphasis on simplicity and robustness, making it accessible for both academic study and industrial deployment. Han’s ongoing work continues to push the boundaries of how mobile robots interpret and interact with their environments, promising further advances in service and inspection robotics.
Research Focus
Key Achievements
Top Papers
- 1