Mikhail Khrenov

University of Maryland, College Park, Carnegie Mellon University

Papers

Total Citations

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About

Mikhail Khrenov is a roboticist whose work spans computer vision, soft robotics, and medical robotics. He developed a novel single-camera robotic approach for three-dimensional digital image correlation, enabling targetless extrinsic calibration and expanded view angles—a contribution with 4 citations that advances non-contact measurement techniques. In soft robotics, Khrenov tackled the notoriously difficult control of shape-memory alloy (SMA) actuators, proposing an optimal control strategy using iterative learning control to manage the nonlinearities and hysteresis inherent in SMA-driven soft digits (3 citations). His work has direct clinical impact: during the COVID-19 pandemic, he designed a telerobotic system for operating intensive care unit ventilators, reducing frontline exposure for healthcare workers (2 citations). By bridging vision-based sensing, compliant actuation, and telemedicine, Khrenov demonstrates a commitment to practical, human-centered robotics. His research not only pushes the boundaries of robotic perception and control but also addresses urgent real-world needs, from safer pandemic response to more dexterous soft manipulators.