Srikrishnan Ramadurai

University of Washington, Seattle University

Papers

Total Citations

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About

Srikrishnan Ramadurai is a robotics researcher whose work focuses on the control and estimation challenges inherent in cable-driven mechanisms, with a particular emphasis on surgical robotics. His research addresses the fundamental problem of cable elasticity and tension variation, which can introduce significant inaccuracies in robot-assisted surgery. In his most-cited work, "Control and Tension Estimation of a Cable Driven Mechanism Under Different Tensions" (2013, 24 citations), he proposed a method to estimate and compensate for cable tension changes, a critical factor affecting mechanism performance. He further advanced this area through simulation studies applying the Unscented Kalman Filter to cable-driven surgical robots (2012, 17 citations), demonstrating how state-space control can mitigate the relative motion caused by cable elasticity. Ramadurai also explored the automation of soft tissue compression for robot-assisted surgery (2012, 5 citations), tackling the challenge of interacting with tissues of unknown properties under size and sterilization constraints. His work contributes to making surgical robots more precise and reliable, addressing real-world challenges in medical robotics.