Papers
1
Total Citations
3
H-Index
1
About
Dr. Kuo-Wei Su is a leading researcher in smart manufacturing and wireless sensor network applications, with a focus on enhancing operational efficiency in Industry 4.0 environments. His most cited work, "An Adaptive Location-Based Tracking Algorithm Using Wireless Sensor Network for Smart Factory Environment" (2021, 3 citations), addresses a critical challenge in modern factories: improving the accuracy of location-based services for autonomous robots. By developing an adaptive tracking algorithm that leverages wireless sensor networks, Su's research directly tackles the high costs and performance bottlenecks associated with traditional location systems in smart factories. His contributions are particularly valuable for enabling precise, real-time navigation of self-propelled robots, which is essential for automated material handling and logistics. While his citation count is currently modest, the practical implications of his work for reducing operational costs and enhancing factory automation signal its growing relevance. Su's research bridges the gap between theoretical sensor network design and industrial application, positioning him as an emerging voice in the field of smart manufacturing and cyber-physical systems.
Research Focus
Key Achievements
Top Papers
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