Max Robotics — Global Service Robot Directory + US Certification

About

Omeed Paydar is a researcher at the forefront of advancing robotic surgery through innovative sensor and feedback technologies. His primary research areas include surgical robotics, tactile feedback systems, and smart surgical instrumentation. Paydar’s major contributions lie in developing force-sensing and failure-detection systems that address the critical lack of tactile feedback in robotic minimally invasive surgery. His most cited work, “Tensile strength and failure load of sutures for robotic surgery” (34 citations), provides foundational data for robotic suturing safety. He also pioneered a “Biaxial sensing suture breakage warning system for robotic surgery” (25 citations), introducing real-time monitoring to prevent intraoperative failures. Notably, his 2012 paper on “Fabrication of a thin-film capacitive force sensor array for tactile feedback” (24 citations) demonstrated a novel approach to restoring the sense of touch in robotic systems. His 2017 work on a “Grasper integrated tri-axial force sensor system” (18 citations) achieved a significant milestone by creating the first microfabricated sensor capable of measuring normal and shear forces simultaneously. With a growing citation impact, Paydar’s work is instrumental in making robotic surgery safer, more intuitive, and more responsive to the surgeon’s needs.