Papers
24
Total Citations
512
H-Index
11
About
Qiuju Zhang is a leading researcher in robotics, specializing in robot calibration, soft robotics, and intelligent control systems. Her work addresses critical challenges in industrial and rescue robotics, focusing on enhancing precision, adaptability, and fault tolerance. Zhang’s most influential contribution is the development of a non-kinematic calibration method using a rigid–flexible coupling error model and full pose measurement, which has garnered 128 citations for significantly improving industrial robot accuracy. She has also pioneered fuzzy neural network-backstepping control for complex robot systems (113 citations) and robust backstepping control for nonholonomic mobile robots (48 citations). Her innovative designs include a flexible robotic hand with soft fingers and a changeable palm for adaptive grasping, and a wheel-legged rescue robot for hazardous environments. Zhang’s work on pneu-net actuators for trajectory matching and evolutionary robot calibration using GA-DNN has advanced soft robotics and nonlinear error compensation. With over 400 total citations, her research bridges theoretical modeling and practical applications, making her a key figure in modern robotics engineering.
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