Papers
7
Total Citations
234
H-Index
7
About
Navid Shahriari is a robotics and biomedical engineering researcher whose work sits at the intersection of surgical robotics, medical imaging, and autonomous control systems. He has made significant contributions to minimally invasive robotic surgery, with his most-cited work — "Task Control with Remote Center of Motion Constraint for Minimally Invasive Robotic Surgery" (2013, 135 citations) — establishing foundational methods for constraining robotic manipulator motion through surgical entry ports, a critical requirement in laparoscopic procedures. Building on this, Shahriari has advanced the field of flexible needle steering, developing techniques that integrate ultrasound guidance, electromagnetic sensing, CT imaging, and force feedback to achieve precise needle placement in challenging clinical environments, including moving biological tissue and lung biopsy applications. His 2018 work on motion-compensated needle steering in moving tissue demonstrates a sophisticated fusion of sensing modalities that directly addresses real-world intraoperative variability. Shahriari has also contributed to robotic visual servoing for dynamic target tracking. Collectively, his research tackles fundamental challenges in surgical accuracy — from port-constrained manipulation to three-dimensional needle targeting in prostate and breast phantoms — offering clinically translatable solutions with meaningful implications for cancer diagnosis and minimally invasive therapy.
Research Focus
Key Achievements
Top Papers
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- 4Robotic visual servoing of moving targets14 citations · 2013
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