Guijuan Lin

Papers

Total Citations

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About

Guijuan Lin is a researcher specializing in industrial automation and mobile robotics, with a particular focus on navigation systems for automated guided vehicles (AGVs). Her key contributions lie in developing innovative approaches to improve the reliability and efficiency of AGV navigation in logistics environments. In her most-cited work, "An Improved Magnetic Spot Navigation for Replacing the Barcode Navigation in Automated Guided Vehicles" (2021, 5 citations), Lin addresses critical limitations of traditional barcode-based navigation—specifically the need for frequent barcode repairs and speed control issues near markers. She proposes a magnetic spot navigation system as a robust alternative, offering more durable and maintenance-free localization. This work demonstrates her ability to bridge practical industrial challenges with applied research, providing solutions that enhance operational continuity in factory settings. While her citation count is still growing, Lin’s research is notable for its direct relevance to real-world logistics automation, and her work contributes to the ongoing evolution of AGV technology. Her focus on replacing vulnerable barcode systems with magnetic navigation highlights her commitment to creating more resilient and efficient industrial systems.