Papers
8
Total Citations
642
H-Index
8
About
Siddarth Sen is a leading researcher in robot-assisted minimally invasive surgery (RMIS), focusing on automating complex surgical subtasks to reduce surgeon fatigue and improve procedural precision. His major contributions span the development of intelligent robotic systems for cutting, suturing, and tumor resection, often leveraging the da Vinci Research Kit (DVRK). Sen pioneered the automation of multilateral surgical suturing with a mechanical needle guide and sequential convex optimization, a breakthrough cited over 168 times. He also advanced kinematic control of cable-driven surgical robots using Gaussian Process Regression, achieving precise control despite nonlinearities (76 citations). His work on automated palpation for tumor localization (73 citations) and subcutaneous blood vessel detection (70 citations) demonstrates a commitment to enhancing diagnostic accuracy during surgery. Notably, Sen developed an interchangeable surgical instrument system for multilateral tumor resection, enabling seamless tool changes without trocar removal. His research on shared-control teleoperation and human-centered automation models further explores collaborative frameworks for surgical tasks. With over 600 total citations, Sen’s innovations are pivotal in moving toward supervised, semi-autonomous robotic surgery, promising safer and more efficient procedures.
Research Focus
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Top Papers
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- 8Models of human-centered automation in a debridement task12 citations · 2015