Zhongjing Ma
Papers
6
Total Citations
45
H-Index
4
About
Dr. Zhongjing Ma is a pioneering researcher in rehabilitation and bionic robotics, with a focus on control systems, dynamic modeling, and autonomous underwater navigation. His major contributions include developing an impedance sliding-mode control method with stiffness scheduling for rehabilitation robots, which enables precise, therapist-like motion training for patients—a work that has garnered 29 citations since 2024. Dr. Ma has also advanced bionic robotic fish technology through innovative orientation control using Active Disturbance Rejection Control (ADRC) and data-assisted dynamic modeling that combines Lagrangian mechanics with machine learning for precise speed control. His work on lightweight underwater object detection, integrating adaptive image enhancement with YOLOv8, addresses real-time autonomy challenges in complex aquatic environments. Additionally, Dr. Ma has explored vision-based obstacle avoidance and formation control for robotic fish swarms, as well as game-based social learning particle swarm optimization for robotic arm inverse kinematics. His research not only pushes the boundaries of robotic autonomy and human-robot interaction but also demonstrates tangible impact through growing citation counts and practical applications in rehabilitation and underwater exploration.
Research Focus
Key Achievements
Top Papers
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