Papers
8
Total Citations
96
H-Index
5
About
Siamak Arzanpour is a leading researcher in the fields of robotic exoskeletons, rehabilitation engineering, and advanced manufacturing. His work bridges the gap between mechanical design and intelligent control, with a focus on creating adaptive, user-specific assistive devices. Arzanpour’s major contributions include pioneering the use of machine learning for motion generation in wearable hip exoskeletons, where his 2019 paper on estimating ground reaction forces using neural networks and support vector machines has garnered significant attention. He has also advanced brain-computer interface technology for gait anticipation, enabling more intuitive control of lower-limb exoskeletons. His research on sample-efficient policy adaptation for exoskeletons, published in 2022, addresses the critical challenge of personalizing control policies for different users and environments. With over 96 citations across his most-cited works, Arzanpour’s impact is evident in both manufacturing and rehabilitation. His early work on flexible fixture design for automotive assembly remains highly cited, while his recent innovations in magnetorheological damper-based platforms and digital resistance-map generation for rehabilitation demonstrate his versatility. Arzanpour’s research is instrumental in making assistive robotics more accessible, safe, and effective for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2A novel magnetorheological damper based parallel planar manipulator design20 citations · 2010
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- 5Decoding Brain Signals to Classify Gait Direction Anticipation5 citations · 2022
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- 8Three Fingered Flexible Fixture Design2 citations · 2003