Benjamin Lurie

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About

Benjamin Lurie is a leading researcher in surgical robotics and human-machine interaction, with a particular focus on compensating for time delays in teleoperated systems. His most cited work, "Compensatory motion scaling for time-delayed robotic surgery" (2020), has garnered 45 citations and addresses a critical challenge in remote surgery: the destabilizing effects of communication latency. Lurie’s key contribution lies in developing adaptive motion scaling algorithms that dynamically adjust surgeon commands to maintain precision and safety despite network delays, effectively bridging the gap between human intent and robotic response. This work has significant implications for telesurgery, enabling more reliable procedures across long distances. Beyond this, his research explores haptic feedback and control strategies that enhance operator performance in complex environments. With a growing citation impact, Lurie’s innovations are shaping the future of minimally invasive surgery and remote medical interventions, making him a notable figure in the intersection of robotics, control theory, and clinical application.