Gang-Gyoo Jin

Papers

Total Citations

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About

Dr. Gang-Gyoo Jin is a robotics researcher whose work centers on autonomous navigation, environmental mapping, and intelligent control for mobile and unmanned robots. His most cited paper (21 citations) introduces a method for building high-accuracy environmental maps using low-cost infrared range-finder sensors combined with neural networks, correcting sensor errors to enhance map quality for mobile robot localization. He has also made significant contributions to trajectory control, developing a fuzzy rule-based controller for mobile robots that uses Mamdani-type inference, with angle and angular rate as inputs to determine steering angle—a system optimized through real-coded genetic algorithms for scaling factor adjustment. In the domain of unmanned ground vehicles, Dr. Jin proposed a framework for traversability analysis that extracts slope and roughness from terrain maps to assess regional navigability and speed, enabling safer autonomous movement. His work bridges practical sensor limitations with intelligent control strategies, offering cost-effective solutions for real-world robotics applications. With a career spanning foundational sensor fusion and fuzzy logic control, Dr. Jin’s research remains relevant for students and engineers developing autonomous systems in unstructured environments.