Navid Feizi
Papers
5
Total Citations
116
H-Index
4
About
Navid Feizi is a pioneering researcher at the intersection of robotics, artificial intelligence, and medical technology, with a focus on advancing surgical and rehabilitative systems. His work addresses critical challenges in human-robot interaction, particularly through the development of smart actuators and electroadhesive clutches that enhance safety and precision in physical tasks. Feizi’s most cited paper, “Robotics and AI for Teleoperation, Tele-Assessment, and Tele-Training for Surgery in the Era of COVID-19” (92 citations), provides a visionary framework for remote healthcare delivery during pandemics, highlighting his ability to respond to global crises with innovative solutions. He has also made notable contributions to continuum robotics, including a deep Koopman approach for nonlinear dynamics control, and to surgical planning for percutaneous nephrolithotomy using patient-specific concentric tube robots. His work on torque-adjustable rotary electroadhesive clutches and high-definition control of actuators demonstrates a commitment to creating safer, more adaptive rehabilitation technologies. With a growing citation impact and a portfolio that spans telemedicine, rehabilitation, and surgical robotics, Feizi is shaping the future of intelligent, human-centered robotic systems.
Research Focus
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Top Papers
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