Shih-Chi Lin

National Taiwan University, National Chung Cheng University

Papers

Total Citations

H-Index

About

Shih-Chi Lin is a pioneering researcher in intelligent mobile robotics, with a primary focus on sensor fusion, human-robot interaction, and autonomous navigation. His most influential work, "Human tracking and following using sensor fusion approach for mobile assistive companion robot" (2009, 29 citations), introduced a robust method for enabling small mobile robots to track and follow a target person by integrating a single vision sensor with a laser range finder—a cost-effective alternative to stereo-vision systems that significantly advanced assistive robotics. Lin further contributed to the field of simultaneous localization and mapping (SLAM) with his 2008 paper on "Indoor autonomous mobile robot localization using natural landmark" (12 citations), which addressed the challenge of robot pose estimation in long corridors and open spaces using natural landmarks within an EKF-SLAM framework. His work is notable for tackling real-world deployment challenges, such as sensor limitations and environmental variability, making autonomous mobile robots more practical for service and companion applications. Lin’s research continues to inspire developments in human-aware navigation and low-cost robotic perception systems.