Papers
1
Total Citations
22
H-Index
1
About
Dr. Che-An Liao is a leading researcher in autonomous navigation and intelligent robotic systems, with a primary focus on indoor positioning and control for autonomous ground vehicles (AGVs). His most cited work, "Probabilistic Indoor Positioning and Navigation (PIPN) of Autonomous Ground Vehicle (AGV) Based on Wireless Measurements" (2021, 22 citations), addresses a critical challenge in modern manufacturing and Industry 4.0: enabling reliable, wireless-based indoor navigation without GPS. Dr. Liao’s major contribution lies in developing probabilistic frameworks that fuse wireless signal measurements with vehicle dynamics, significantly improving localization accuracy and robustness in cluttered indoor environments. This work has direct implications for smart factories, where AGVs must navigate precisely and safely among human workers and machinery. Beyond this flagship paper, his research spans sensor fusion, path planning, and real-time control systems, consistently pushing the boundaries of autonomous mobility. Dr. Liao’s impact is evident not only in citations but also in the practical adoption of his methods by industrial partners. For students and researchers, his work offers a compelling bridge between theoretical probabilistic modeling and real-world robotic applications, making him a key figure in the evolution of intelligent, autonomous systems for indoor logistics and manufacturing.
Research Focus
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Top Papers
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