Papers
7
Total Citations
114
H-Index
6
About
Jason Pile is a robotics and biomedical engineering researcher whose work has made significant strides in surgical robotics, with a particular focus on cochlear implant surgery and minimally invasive procedures. His research centers on developing intelligent robotic systems that enhance both the precision and safety of delicate surgical interventions, especially the insertion of electrode arrays into the fragile anatomy of the inner ear. Pile's most influential contribution, "Modeling, Design, and Evaluation of a Parallel Robot for Cochlear Implant Surgery" (2014, 43 citations), established a foundational framework for robotic-assisted cochlear implantation, addressing critical design optimization challenges that directly impact patient outcomes. Building on this, he pioneered the innovative concept of **perception augmentation**—enabling robots to detect and warn surgeons of insertion failures in real time—marking a meaningful evolution beyond simple manipulation assistance. His work on electrode tip fold-over detection, force-based adaptive path planning, and virtual fixture updating through force-controlled telemanipulation collectively demonstrates a sophisticated, sensor-driven approach to surgical robotics. More recently, Pile extended his expertise to port placement optimization for minimally invasive surgery, broadening his impact across surgical specialties. With over 110 cumulative citations, his research continues to shape the future of precision surgical robotics.
Research Focus
Key Achievements
Top Papers
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- 4Force-based flexible path plans for robotic electrode insertion14 citations · 2014
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