Papers
6
Total Citations
109
H-Index
5
About
Xianzhi Jiang is a leading researcher in rehabilitation robotics, specializing in the control and design of robotic systems driven by pneumatic muscle actuators. His work focuses on developing intelligent control strategies—such as fuzzy neural networks and neuron proportion-integral feedforward control—to overcome the challenges of nonlinearity, time delay, and friction in pneumatic muscle-driven exoskeletons for upper limb stroke rehabilitation. Jiang’s most-cited paper (29 citations) introduces a fuzzy neural network controller that significantly enhances the performance of a rehabilitation robotic arm. His foundational 2009 study (28 citations) established control methods for an exoskeleton arm, while his 2012 work (27 citations) refined position control for a single rehabilitation joint. Beyond upper limb devices, Jiang has also contributed to gait planning and static stability for hexapod walking robots, demonstrating versatility in bionic locomotion. His research has been published in leading robotics and automation journals, and his designs—including a 9-degree-of-freedom wearable exoskeleton—have advanced practical rehabilitation solutions. With over 100 cumulative citations, Jiang’s work continues to shape the field of soft robotic control and assistive technology.
Research Focus
Key Achievements
Top Papers
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- 5Research on Gait Planning and Static Stability of Hexapod Walking Robot9 citations · 2015
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