Kuan‐Hung Chen
Papers
2
Total Citations
18
H-Index
2
About
Kuan-Hung Chen is a robotics and sensing researcher whose work bridges autonomous navigation and chemical detection. His primary research areas include mobile robot path planning, obstacle avoidance, and paper-based chemical sensing devices. Chen’s most significant contribution is his development of an urban mobile robot routing system using the Rapidly-exploring Random Tree (RRT) method, published in 2024. This work, which has garnered 15 citations, addresses the critical challenge of real-time navigation in cluttered, obstacle-dense environments, offering a computationally efficient solution for autonomous robots operating in complex urban settings. In a different vein, Chen has also advanced the field of low-cost diagnostics through his 2015 paper on enhancing self-compensation capability in paper-based devices for chemical sensing. This work, cited 3 times, demonstrates his versatility in tackling sensor reliability issues, enabling more accurate and affordable point-of-care testing. By combining expertise in robotics and sensor technology, Chen’s research contributes to both autonomous systems and accessible chemical analysis, making him a notable figure in applied engineering.
Research Focus
Key Achievements
Top Papers
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