Chin-Lung Chen

Papers

Total Citations

H-Index

About

Chin-Lung Chen’s research focuses on human-robot interaction, specifically enabling mobile service robots to detect, track, and follow people in indoor environments. His major contributions center on developing robust algorithms for pedestrian detection and trajectory planning using laser range finders, addressing challenges unique to mobile platforms in dynamic settings like libraries and museums. His most cited work, “Trajectory planning for human host tracking and following of slave mobile robot on service-related tasks” (2011, 6 citations), proposes a pseudo-goal approach that enhances obstacle avoidance during human following. In “Detecting and tracking of host people on a slave mobile robot for service-related tasks” (2011, 5 citations), he tackles the difficulty of distinguishing and following a specific host among pedestrians using only laser data. His comparative study “Active pedestrian following using laser range finder” (2011, 2 citations) evaluates intuitive versus goal-based following methods. Though his citation counts are modest, Chen’s work is notable for its practical focus on real-world service robotics, contributing foundational techniques for autonomous navigation that prioritize safety and reliability in human-populated spaces.