About

Aibin Zhu is a robotics and rehabilitation engineering researcher whose work centers on exoskeleton systems, human-robot interaction, and intelligent control strategies. With over 280 citations across his most-recognized publications, Zhu has established himself as a significant contributor to the field of assistive and rehabilitative robotics. His landmark 2020 paper introducing adaptive sliding mode variable admittance control — garnering 70 citations — addressed a critical gap in passive rehabilitation training by developing methods that meaningfully incorporate patient agency into recovery protocols. Building on this, his 2022 work on a crank-slider series elastic actuated knee exoskeleton (61 citations) advanced compliant human-robot interaction through innovative mechanical design prioritizing backdrivability and torque accuracy. Zhu's research spans both upper and lower limb rehabilitation systems, biologically inspired CPG neural network control, and brain-computer interface integration for detecting movement intention via EEG signals. His portfolio extends beyond medical robotics into infrastructure inspection robots and amphibious spherical robots, demonstrating remarkable breadth. Through a consistent focus on patient-centered design and adaptive intelligence, Zhu's contributions are shaping the future of personalized robotic rehabilitation.

Research Focus

Key Achievements

10
H-Index
26
Papers
356
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
An Adaptive Sliding Mode Variable Admittance Control Method for Lower Limb Rehabilitation Exoskeleton Robot
70 citations · 2020
📈 Most Prolific Year: 2019 (5 Papers)
🤝 Key Collaborators: 68
🏛 Institutions: Xi'an Jiaotong University, University of Guelph, University of California, Los Angeles, Shaanxi University of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago