Cheng-Kain Chan
Papers
1
Total Citations
15
H-Index
1
About
Cheng-Kain Chan is a researcher in robotics and intelligent systems, with a primary focus on behavior-based navigation and autonomous mobile service robots. His most cited work, "Behavior-Based Navigation Using Heuristic Fuzzy Kohonen Clustering Network for Mobile Service Robots" (2010), has garnered 15 citations, reflecting its influence in advancing adaptive navigation algorithms. Chan’s major contribution lies in integrating fuzzy logic with Kohonen neural networks to create heuristic clustering methods that enable robots to navigate complex, dynamic environments without explicit programming. This approach enhances real-time decision-making and obstacle avoidance, making service robots more reliable in domestic and industrial settings. His work bridges computational intelligence and practical robotics, offering scalable solutions for autonomous systems. While his citation count is modest, the targeted impact of his research is evident in its application to behavior-based control architectures. Chan’s achievements underscore a commitment to developing efficient, learning-driven navigation systems, positioning him as a contributor to the evolution of intelligent mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1