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Juyong Kang is a leading researcher in the field of autonomous ground vehicle control, with a primary focus on skid-steering dynamics and robotic vehicle mobility. His most significant contributions center on the development of advanced driving control algorithms for Robotic Vehicles with Articulated Suspension (RVAS), a specialized class of unmanned ground vehicles. Kang’s seminal 2010 paper, “Design, implementation, and test of skid steering-based autonomous driving controller for a robotic vehicle with articulated suspension” (23 citations), established a foundational framework for integrating speed control, yaw rate regulation, and trajectory tracking in skid-steered platforms. His earlier 2009 work (11 citations) further refined these concepts by detailing a comprehensive driving control algorithm that enables precise maneuvering through independent in-wheel drives. Kang’s research has been instrumental in solving the complex challenge of autonomous navigation for vehicles with articulated suspension, directly impacting the development of robust, off-road robotic systems. His work is essential reading for engineers and researchers advancing autonomous driving in unstructured environments.