Cheng-Kang Chuang
Papers
1
Total Citations
4
H-Index
1
About
Cheng-Kang Chuang is a robotics researcher whose work centers on autonomous navigation, human-robot interaction, and assistive technologies for vulnerable populations. His most-cited paper, "Vision-Based Human Following and Obstacle Avoidance for an Autonomous Robot in Intersections" (2012, 4 citations), introduces a pioneering system that enables a robot to safely follow a person through pedestrian crossings while avoiding obstacles—a critical advancement for aiding older adults and individuals with disabilities. By integrating a single front-mounted camera, an inertial measurement unit, and encoders, Chuang’s approach demonstrates how low-cost, vision-based solutions can achieve robust performance in complex urban environments. This work highlights his broader contributions to developing autonomous robots that operate reliably in real-world settings, balancing perception, control, and safety. Though his citation count is modest, the practical significance of his research lies in its direct application to improving mobility and independence for those with limited physical capabilities. Chuang’s focus on intersection navigation—a particularly challenging scenario for autonomous systems—underscores his commitment to solving real-world problems at the intersection of robotics, computer vision, and assistive technology.
Research Focus
Key Achievements
Top Papers
- 1