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About

Amit Milstein is a researcher at the forefront of surgical robotics, with a focus on enhancing human-robot interaction in robot-assisted minimally invasive surgery (RAMIS). His work centers on improving the transparency and precision of teleoperated systems, particularly in grasping and tissue manipulation. Milstein’s most cited paper, "Human-Centered Transparency of Grasping via a Robot-Assisted Minimally Invasive Surgery System" (2018, 31 citations), introduces a novel metric for quantifying natural action and perception during RAMIS, directly addressing the challenge of making robotic tools feel intuitive to surgeons. In "Robot-assisted laser tissue soldering system" (2018, 30 citations), he tackles incision closure—a critical surgical step—by developing a robotic approach that overcomes limitations of sutures and adhesives, especially in minimally invasive settings. His 2017 study on gripper scaling (5 citations) further explores how tool design impacts teleoperated performance. With a cumulative citation count exceeding 65, Milstein’s contributions are shaping safer, more effective surgical technologies, bridging the gap between human skill and robotic precision.