Guo Kangquan

Papers

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About

Guo Kangquan is a dedicated researcher in agricultural robotics, with a primary focus on the design, control, and optimization of intelligent mobile platforms for precision farming. His work centers on enhancing the maneuverability and operational efficiency of wheeled agricultural robots, particularly through advanced motion control and steering systems. In his highly cited 2022 study, "Performance Analysis and Optimization for Steering Motion Mode Switching of an Agricultural Four-Wheel-Steering Mobile Robot," Guo tackled the critical challenge of achieving smooth and reliable motion mode switching (MMS) in four-wheel-steering robots used for tasks like detection, weeding, and information monitoring. By systematically analyzing control parameters, he identified optimal strategies that significantly improve transition performance, reducing instability during mode changes. This contribution is vital for the practical deployment of autonomous robots in complex field environments. With 12 citations, his work has already informed subsequent research in agricultural automation, demonstrating its relevance to both academic and applied engineering communities. Guo’s research continues to bridge the gap between theoretical control systems and real-world agricultural needs, making him a notable figure in the advancement of smart farming technologies.