Papers
3
Total Citations
12
H-Index
2
About
Yoon Ket Lee is a researcher at the forefront of autonomous robotics and smart manufacturing, with a focus on integrating Cyber-Physical Systems (CPS) into Industry 4.0 frameworks. His work centers on developing intelligent, flexible navigation solutions for autonomous mobile robots in dynamic industrial environments—addressing critical challenges like GPS-denied factories and frequently changing layouts. Lee’s most cited paper, “Cyber Physical Autonomous Mobile Robot (CPAMR) Framework in the Context of Industry 4.0” (2018, 9 citations), lays foundational groundwork by bridging IoT, CPS, and robotics for smart manufacturing. He further advances this field with “Autonomous Robot Navigation System Workflow for Monitoring and Maintenance in Industry 4.0 Applications” (2024, 2 citations), proposing adaptive navigation workflows that overcome the rigidity of traditional automated guided vehicles. Additionally, his 2020 work on SLAM with cognitive environmental understanding (1 citation) explores how robots can build semantically meaningful maps, moving beyond geometric layouts. Though early in his citation trajectory, Lee’s contributions are timely and impactful, offering practical pathways for scalable, flexible automation in Industry 4.0—a critical area for students and researchers interested in the future of intelligent manufacturing and autonomous systems.
Research Focus
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