Yaser Sabzehmeidani
Papers
7
Total Citations
117
H-Index
5
About
Yaser Sabzehmeidani is a robotics and mechatronics researcher whose work spans micro-electro-mechanical systems (MEMS), rehabilitation robotics, and advanced control of micro and mini robotic systems. His most influential contribution, a 2020 review paper on MEMS as sensors — now cited over 71 times — offers a comprehensive survey of MEMS applications across robotics, automation, and everyday technology, establishing him as a key synthesizer in this rapidly evolving field. Sabzehmeidani has also made significant strides in rehabilitation engineering, developing a soft robotic hand rehabilitation system driven by McKibben artificial muscles, demonstrating his commitment to translating robotics research into meaningful clinical applications. A recurring theme throughout his career is the control of micro and mini robots for in-pipe applications, where he has pioneered mathematical modeling and intelligent control strategies — including active force control, fuzzy logic, and iterative learning algorithms — applied to piezoelectric and voice-coil actuated systems. His early work from 2010–2011 laid foundational groundwork in worm-like and piezo-actuated micro-robot dynamics, while more recent studies continue refining real-world robustness and disturbance rejection. Collectively, his body of work reflects a researcher deeply invested in bridging theoretical modeling with practical, intelligent robotic solutions.
Research Focus
Key Achievements
Top Papers
- 1Application of Micro-Electro-Mechanical Systems (MEMS) as Sensors: A Review71 citations · 2020
- 2Continuous Progressive Actuator Robot for Hand Rehabilitation14 citations · 2020
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- 7Intelligent hybrid control of piezoelectric actuated micro robot2 citations · 2011