Maozeng Zhang
Papers
5
Total Citations
22
H-Index
3
About
Maozeng Zhang is a rising researcher in the fields of rehabilitation robotics, soft actuation, and bio-inspired systems. His work focuses on developing safer, more intelligent robotic systems for human interaction, particularly for home-based rehabilitation and assistive exoskeletons. Zhang’s major contributions include pioneering control methods for tendon–sheath systems, where he developed a friction model-based angle estimation and feedforward-feedback control strategy to overcome configuration-dependent nonlinearities—a critical challenge for flexible force transmission in robots. He has also advanced variable stiffness actuators (VSAs) for elbow exoskeletons, introducing a dual-motor load-sharing design that enables both motors to contribute to power, enhancing safety and compliance in human–robot interaction. Additionally, Zhang designed a self-powered rehabilitation system with variable stiffness for home use, addressing the need for therapist-free, safe training. His work on a low-cost testing platform for flapping-wing robots and self-deployment strategies for jumping sensor networks demonstrates versatility in bio-inspired robotics. With his most-cited paper (2023) garnering 11 citations, Zhang’s research is steadily gaining recognition for its practical impact on rehabilitation technology and compliant actuation.
Research Focus
Key Achievements
Top Papers
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- 3
- 4A Testing Platform for Flapping-Wing Robots2 citations · 2020
- 52D Self-Deployment of A Jumping Sensor Network2 citations · 2020