S. Mohammad Tahamipour-Z.
Ferdowsi University of Mashhad, Tampere University of Applied Sciences, Tampere University
Papers
11
Total Citations
168
H-Index
7
About
S. Mohammad Tahamipour-Z. is a leading researcher in the field of wearable robotics and intelligent control systems, with a primary focus on exoskeleton technology for human assistance and rehabilitation. His work centers on developing sophisticated control strategies that enable exoskeletons to intuitively respond to user intent, blending biomechanics with advanced artificial intelligence. His most impactful contribution is the "Assist-As-Needed" control paradigm for hip exoskeletons, which uses a novel strength index to dynamically adjust support—a work cited over 56 times. He has further advanced the field by integrating adaptive fuzzy impedance control with electromyography-based convolutional neural networks, allowing for real-time estimation of human intended trajectories (39 citations). His research also spans non-linear model predictive control for compliantly actuated exoskeletons, robust control for manipulators, and the application of deep reinforcement learning for gait assistance. With a cumulative citation count exceeding 160, Tahamipour-Z. is recognized for bridging the gap between theoretical control systems and practical, human-centric robotic applications, making him a pivotal figure in the next generation of assistive technology.
Research Focus
Key Achievements
Top Papers
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- 8Robust Model Predictive Control for Robot Manipulators5 citations · 2022
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- 10Physiotherapy Algorithms on FUM-Physio Robot3 citations · 2022