Chi-Hsien Lin
Papers
1
Total Citations
3
H-Index
1
About
Chi-Hsien Lin is a robotics researcher whose work centers on autonomous mobile robot navigation, computer vision, and human-robot interaction. His primary contributions lie in developing vision-based systems that enable robots to perceive and respond to dynamic environments. In his influential 2010 paper, "Vision based obstacle avoidance and target tracking for autonomous mobile robots," Lin introduced a hierarchical switching strategy that uses stereo vision and V-disparity analysis to build obstacle maps, allowing robots to simultaneously avoid obstacles and track moving targets using only visual input. This work, which has garnered over 3 citations, laid foundational groundwork for integrating obstacle detection with target tracking in real-time robotic systems. Lin's research is particularly notable for its practical approach to solving the challenge of autonomous navigation in cluttered, unstructured settings. His achievements include advancing the use of color-based tracking and disparity imaging to improve robot perception, making his work relevant for applications in service robotics, autonomous vehicles, and assistive technologies. Lin continues to explore how vision-driven algorithms can enhance robot autonomy and safety.
Research Focus
Key Achievements
Top Papers
- 1