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About

Siamak Arbatani’s research lies at the critical intersection of tactile sensing, haptic feedback, and robotic-assisted surgery. His work addresses a fundamental challenge in minimally invasive procedures: restoring the sense of touch that surgeons lose when using robotic tools. His most cited paper, “Tactile Sensing and Displays: Haptic Feedback for Minimally Invasive Surgery and Robotics” (2012, 23 citations), provides a foundational overview of technologies for capturing and recreating tactile information during surgery. Building on this, his 2015 study on “Micro-optical force distribution sensing suitable for lump/artery detection” (11 citations) introduced a novel sensor capable of detecting subtle tissue abnormalities, a key step toward safer, more intuitive robotic surgery. Arbatani also contributed to the important discussion of translating such technologies from lab to clinic in his chapter on “Clinical and Regulatory Challenges for Medical Devices” (2012, 4 citations), which outlines the FDA approval process for robotic surgery systems. His doctoral thesis (2016) further advanced the field by developing inverse modeling methods to identify the mechanical properties of soft, nonlinear tissues and recreate their deformation for tactile displays. Though his citation counts are modest, Arbatani’s work is technically significant, addressing core sensing and regulatory hurdles that continue to shape the future of haptic-enabled surgical robotics.