Papers
6
Total Citations
91
H-Index
3
About
Zhitao Shen is a pioneering researcher in rehabilitation and assistive robotics, whose work centers on the design, control, and biomechanical simulation of lower limb exoskeletons. His most impactful contribution is the development of an adaptive sliding mode variable admittance (ASMVA) control method for rehabilitation exoskeletons, which actively engages patients during therapy—a breakthrough that has earned 70 citations and addresses a critical gap in passive, fixed-trajectory training. Shen also advances the field through biomechanical simulation using OpenSim, reducing costly design iterations by modeling human-exoskeleton interaction. His innovative application of TRIZ-based design strategies has improved the portability and comfort of military load exoskeletons and robotic foot structures, while his work on predicting ankle moments from surface electromyography signals pushes the boundaries of intuitive, human-aware control. Beyond robotics, Shen has contributed to engineering education, proposing a novel pattern that integrates design thinking and robot maker practice to foster hands-on innovation. With a citation count exceeding 90 across his most cited works, Shen’s research is shaping the future of adaptive, patient-centered rehabilitation and practical exoskeleton design.
Research Focus
Key Achievements
Top Papers
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- 5Innovative design of the Foot of Exoskeleton robot3 citations · 2018
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