Mohsen Zahiri
Papers
3
Total Citations
41
H-Index
2
About
Mohsen Zahiri is a researcher at the intersection of robotics, biomechanics, and surgical innovation. His primary research areas include human-exoskeleton interaction, surgical robotics, and the application of computer vision in medical training. Zahiri’s most significant contribution is his work on human-exoskeleton control simulation, where he developed a comprehensive framework for kinetic and kinematic modeling, parameter extraction, and system optimization. This foundational study, with 36 citations, addresses critical challenges in exoskeleton design—such as actuator selection, coupling mechanisms, and measurement devices—that directly impact performance and human-robot synergy. He has also advanced robotic single-site surgery by integrating automated camera steering to improve visualization and precision in minimally invasive procedures. Additionally, his exploration of computer vision in surgical training and robotics has helped bridge the gap between simulation and real-world clinical practice. Through these contributions, Zahiri has demonstrated a commitment to enhancing both the safety and efficacy of robotic systems in healthcare, making his work highly relevant for students and researchers in biomechatronics and medical robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Integration of Automated Camera Steering for Robotic Single-Site Surgery3 citations · 2015
- 3