Papers
7
Total Citations
105
H-Index
5
About
Farhad Azimifar is a researcher whose work sits at the critical intersection of robotic teleoperation, haptics, and medical device design, with a particular focus on improving surgical precision and rehabilitation outcomes. His primary contributions lie in developing advanced control strategies for telemanipulation systems, notably his work on sensor-less force-reflecting macro–micro systems using piezoelectric actuators, which has garnered 28 citations. Azimifar has significantly advanced the field of bilateral teleoperation by proposing novel force estimation algorithms that enhance system transparency and performance, even in the presence of time delays—a key challenge in remote surgery. His most impactful applied work is in spinal surgery, where he developed a medium-invasiveness, multi-level patient-specific template for pedicle screw placement in scoliosis surgery (24 citations), directly addressing the high risks of screw misplacement associated with traditional fluoroscopic guidance. This work culminated in a new template and teleoperation system for human-guided spine surgery, demonstrating a clear translational path from control theory to clinical application. Azimifar’s research is characterized by its dual focus on theoretical performance improvement and tangible surgical tool innovation, making his contributions valuable for both roboticists and biomedical engineers.
Research Focus
Key Achievements
Top Papers
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- 5A New Template and Teleoperation System for Human‐Guided Spine Surgery9 citations · 2018
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- 7Optimizing the Torque of Knee Movements of a Rehabilitation Robot2 citations · 2018