Guang‐Zhong Cao
Papers
19
Total Citations
357
H-Index
10
About
Guang-Zhong Cao is a leading researcher in the field of rehabilitation and assistive robotics, with a primary focus on lower limb exoskeletons for human–robot interaction. His key research areas include compliant exoskeleton design, human motion intention recognition, and interactive control strategies. Cao’s major contributions include the novel design and control of a crank-slider series elastic actuated knee exoskeleton, which enhances torque generation and backdrivability for compliant interaction. He has also advanced the field through comprehensive reviews on motion intention recognition and interactive control, each garnering over 50 citations. His work on analytical inverse kinematics for 6-DOF robots and CPG neural network-based control for rehabilitation exoskeletons demonstrates his versatility. Additionally, Cao has applied his expertise to robotic arc welding, developing laser-vision systems for seam detection and calibration. With his most-cited paper reaching 61 citations, his research has significantly impacted the development of safer, more intuitive exoskeletons. His achievements include pioneering domain-adaptive CNNs for sEMG-based gait phase recognition, addressing real-world challenges like speed changes. Cao’s work is essential for students and researchers aiming to advance human–robot collaboration in rehabilitation and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Human Lower Limb Motion Intention Recognition for Exoskeletons: A Review57 citations · 2023
- 3Interactive Control of Lower Limb Exoskeleton Robots: A Review50 citations · 2024
- 4Analytical inverse kinematic solution using the D-H method for a 6-DOF robot47 citations · 2017
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- 8Development of a 4-DOF SCARA robot with 3R1P for pick-and-place tasks14 citations · 2015
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