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About

Edoardo Lopez is a leading researcher in surgical robotics and robot dynamics, with a focus on enhancing precision and safety in minimally invasive procedures. His work spans the development of advanced control frameworks, including Implicit Active Constraints for robot-assisted arthroscopy, which dynamically define surgical boundaries from operator motion without requiring pre-operative imaging—a significant step toward more intuitive and adaptive robotic assistance. Lopez also pioneered teleoperated control systems that use Virtual Fixtures to provide force feedback, compensating for the lack of haptic feedback in robotic surgery and guiding surgeons toward target anatomy with greater accuracy. His contributions extend to robot modeling, where he developed a novel method for identifying dynamic parameters in robots with elastic joints, enabling more accurate control and simulation. With papers accumulating over 65 citations, Lopez’s research has directly influenced the design of compliant, cooperative robotic systems—such as those used for in situ microscopic scanning and simultaneous tissue surface reconstruction—bridging the gap between real-time imaging and surgical intervention. His work is essential reading for engineers and clinicians advancing next-generation surgical robotics.