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About

Farshad Anooshahpour is a leading researcher in surgical robotics, specializing in the modeling and control of tendon-driven mechanisms for minimally invasive surgery. His work focuses on addressing the critical challenges of nonlinear behavior—such as hysteresis, friction, and compliance—in tendon-based transmission systems, which are fundamental to robotic surgical instruments like the da Vinci system. Anooshahpour’s major contributions include developing motion transmission models that accurately capture static backlash-like hysteresis and coupling in multi-degree-of-freedom tendon-driven mechanisms, enabling precise position tracking and force estimation without direct sensor feedback. His 2019 paper on a motion transmission model for the da Vinci instrument has garnered 13 citations, while his 2016 work on the classical Preisach model of hysteretic behavior has 11 citations. Additionally, his 2015 study on tissue compliance determination using a da Vinci instrument, with 10 citations, pioneered methods for estimating mechanical properties of tissues during surgery. These achievements have significant implications for improving the accuracy and safety of robotic surgery, making Anooshahpour’s research essential for advancing surgical robot design and haptic feedback systems.