Chuin Jiat Liew

National Taipei University of Technology

Papers

Total Citations

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About

Chuin Jiat Liew is a robotics researcher whose work centers on autonomous mobile robots (AMRs), sensor fusion, and human-robot interaction in industrial settings. His major contributions lie in developing practical, AI-enabled robotic systems that bridge the gap between laboratory research and real-world manufacturing applications. Liew’s most cited work, “Development of an AI-enabled AGV with robot manipulator” (2019, 9 citations), presents a ROS-based automated guided vehicle for assembly lines, integrating dual LIDAR sensors for SLAM and an RGBD camera for environmental perception—a foundational system for flexible factory automation. Building on this, his 2023 paper “Hybrid Navigation of an Autonomous Mobile Robot to Depress an Elevator Button” (3 citations) tackles a challenging multi-floor navigation problem, combining ORB-SLAM localization with an eye-in-hand robot arm for precise manipulation. This work exemplifies his ability to solve complex, real-world tasks that require seamless integration of perception, navigation, and manipulation. Liew’s research is notable for its focus on deployable solutions—systems that can operate in unmodified human environments—making him a rising figure in industrial robotics and autonomous systems.