Sudarshan Raghunathan
Papers
3
Total Citations
53
H-Index
2
About
Sudarshan Raghunathan is a pioneering researcher in the field of autonomous robotic assisted surgery (RAS), with a focus on developing intelligent systems that bridge the gap between full automation and human collaboration. His key research areas include shared control strategies, semi-autonomous laparoscopic systems, and advanced 3D endoscopic imaging for surgical precision. Raghunathan’s major contributions center on the design and validation of the Smart Tissue Autonomous Robot (STAR), where he introduced a confidence-based shared control framework that dynamically allocates decision-making between the robot and surgeon to enhance safety and accuracy. His work on semi-autonomous laparoscopic electro-surgery, demonstrated on porcine cadaver kidneys, showcases a novel 3D endoscope integrated with robotic cutting and targeting tasks, achieving high precision in open-loop control. With over 50 combined citations, his research has been supported by the National Institutes of Health (NIH), underscoring its translational impact. Raghunathan’s achievements are particularly notable for advancing the feasibility of semi-autonomous surgical systems in complex, real-world environments, laying critical groundwork for next-generation RAS that reduces human error while maintaining surgeon oversight.
Research Focus
Key Achievements
Top Papers
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- 3Semi-Autonomous Laparoscopic Robotic Electro-Surgery with a Novel 3D Endoscope * Research reported in this paper was supported by National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health under award numbers 1R01EB020610 and R21EB024707. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.2 citations · 2018