Zhaojun Meng

Shenyang University, Shenyang University of Technology

Papers

Total Citations

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About

Zhaojun Meng is a robotics and control systems researcher whose work bridges autonomous navigation and chaos suppression in extreme environments. His key research areas include simultaneous localization and mapping (SLAM) for mobile robots, fuzzy control systems, and chaos control for underwater robotic thrusters. Meng’s most cited work, “Research on SLAM navigation of wheeled mobile robot based on ROS” (2020, 14 citations), develops kinematic and dynamic models to improve mapping accuracy for robot navigation—a foundational contribution to autonomous ground vehicles. In earlier pioneering studies, Meng tackled chaos in brushless DC thruster motors used in deepwater robots. His 2007 paper (10 citations) introduced a fuzzy control method to solve the difficult problem of selecting time-delayed parameters in chaos control, using quadrature-axis stator voltage as the manipulated variable. This work, along with a related 2006 study (3 citations), demonstrated how fuzzy logic can stabilize chaotic dynamics in underwater propulsion systems, enhancing reliability for deep-sea exploration robots. Meng’s research uniquely combines practical robotic navigation with advanced nonlinear control theory, offering valuable insights for students and engineers working on autonomous systems and marine robotics.