Gongliang Zheng

About

Gongliang Zheng is a leading researcher in the field of medical robotics, with a specific focus on robot-assisted fracture reduction surgery. His work addresses the critical challenge of ensuring both safety and precision in robotic surgical systems that interact with the complex, rigid-compliant musculoskeletal tissue. Zheng’s major contributions lie in developing advanced control strategies to manage the large, variable forces inherent in fracture reduction. He has pioneered adaptive impedance and admittance control methods, including fuzzy logic and neural network approaches, to compensate for system uncertainties and nonlinear dynamics, thereby improving position and force tracking accuracy. His research on external force estimation using the force residual method further enhances the safety and control of these robots. With his most-cited paper, "Fuzzy Adaptive Sliding Mode Impedance Control of Fracture Reduction Robot" (14 citations), and a growing body of work from 2019 to 2025, Zheng is establishing a strong foundation for the next generation of autonomous, highly reliable surgical robots, directly impacting the future of orthopaedic surgery.

Research Focus

Key Achievements

Top Papers

1. 1
   Fuzzy Adaptive Sliding Mode Impedance Control of Fracture Reduction Robot

   14 citations · 2021
2. 2
   Adaptive variable impedance position/force tracking control of fracture reduction robot

   11 citations · 2022
3. 3
   External force estimation of fracture reduction robot based on force residual method

   7 citations · 2020
4. 4
   Neural network adaptive admittance control for improving position/force tracking accuracy of fracture reduction robot

   2 citations · 2025
5. 5
   Force/position control simulation of robot-assisted fracture reduction

   2 citations · 2019

Key Collaborators

Contact & Links