Papers
24
Total Citations
370
H-Index
9
About
Sunita Chauhan is a pioneering researcher at the intersection of medical robotics, surgical automation, and non-invasive therapeutic systems. With a career spanning over two decades, her work has profoundly shaped how robotic technologies are designed, evaluated, and safely deployed in clinical settings. Chauhan's earliest contributions focused on High-Intensity Focused Ultrasound (HIFU)-based surgery, where she helped develop robotic platforms — most notably the FUSBOT system — capable of non-invasively ablating deep-seated tumors in urological and neurological applications. Her 2001 paper on the safety issues of medical robotics remains her most influential work, accumulating 82 citations and establishing foundational guidelines for the field. Alongside this, her research on respiration-induced motion compensation addressed a critical challenge in treating moving soft-tissue targets during non-invasive surgery. More recently, Chauhan has made significant strides in artificial intelligence-driven surgical assessment, with two 2019 papers on deep neural network-based surgical skill classification garnering 72 and 67 citations respectively — demonstrating her ability to evolve with emerging technologies. Her work also extends to robot-assisted cell micromanipulation and robust state estimation for robot localization, reflecting a broad and enduring commitment to advancing intelligent, safe robotic systems across biomedical domains.
Research Focus
Key Achievements
Top Papers
- 1The safety issues of medical robotics82 citations · 2001
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- 4A robotic approach to HIFU based neurosurgery20 citations · 1998
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- 8Vision-based robot-assisted biological cell micromanipulation11 citations · 2014
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