Papers
28
Total Citations
476
H-Index
11
About
Omid Mohareri is a multidisciplinary researcher whose work spans robotics, medical imaging, and surgical automation, with particular expertise at the intersection of robot-assisted surgery and intelligent guidance systems. His most highly cited work — an adaptive neural network-based controller for nonholonomic mobile robots (2012, 141 citations) — established his foundations in intelligent control and autonomous navigation, themes that carry through his entire research arc. Mohareri has made significant contributions to image-guided robot-assisted radical prostatectomy, developing innovative systems that integrate transrectal ultrasound with the da Vinci Surgical System to provide real-time intraoperative guidance. His work on augmented reality overlays merging live ultrasound with preoperative MRI data represents a notable advancement in surgical precision. Complementing these efforts, he has pioneered deformable image registration techniques using finite element modeling, automatic instrument tip localization in 3D ultrasound, and eye-gaze tracking integration for surgical robot consoles — each addressing critical usability and safety challenges in minimally invasive surgery. His research on heart motion compensation for beating-heart coronary bypass surgery and asymmetric force feedback for bimanual teleoperation further demonstrates his versatility. Collectively, his body of work, spanning over 350 citations, reflects a sustained commitment to making robotic surgery smarter, safer, and more perceptually rich for surgeons.
Research Focus
Key Achievements
Top Papers
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- 6Autonomous humanoid robot navigation using augmented reality technique19 citations · 2011
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- 9Multi-view Surgical Video Action Detection via Mixed Global View Attention12 citations · 2021
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