Min-Wook Kang

Morgan State University, University of Alabama

Papers

Total Citations

H-Index

About

Dr. Min-Wook Kang is a researcher specializing in military robotics, geospatial information systems (GIS), and autonomous path planning. His work focuses on developing algorithms and simulation models that enable unmanned ground robots (UGRs) to navigate hazardous combat environments safely and efficiently. Dr. Kang’s major contributions include the creation of a GIS-based simulation model for military path planning, which integrates critical factors such as terrain slope, surface distance, land-use bumpiness, and enemy exposure. He also developed the Military Path Planning Algorithm (MPPA), a visualization-driven approach that allows autonomous agents to plan optimal routes using dynamic digital terrain data. His most-cited papers—each garnering 4 citations—address the urgent need for safer alternatives to human soldiers in high-risk missions like search and rescue and reconnaissance. By combining GIS applications with robotic path planning, Dr. Kang’s work advances the field of autonomous navigation under uncertainty, offering practical solutions for real-time decision-making in combat scenarios. His research is particularly valuable for students and engineers interested in the intersection of robotics, geospatial analysis, and defense technology.