M.A. Khoruzhko

N. I. Lobachevsky State University of Nizhny Novgorod, Immanuel Kant Baltic Federal University

Papers

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About

M.A. Khoruzhko is a pioneering researcher at the intersection of neuroscience, robotics, and artificial intelligence, whose work bridges the gap between biological control systems and engineered devices. Their primary research areas include brain-computer interfaces (BCI), neuroprosthetics, central pattern generators (CPGs), and semantic knowledge representation for autonomous systems. Khoruzhko’s most impactful contribution is the development of a neuro-integrated control system for lower-limb robotic exoskeletons, driven by motor-imagery BCI technology. This work, published in 2017 and cited 45 times, demonstrates how EEG patterns evoked by imagined limb movements can be decoded to command assistive devices, offering a pathway to restore mobility for individuals with paralysis. Expanding into cognitive robotics, Khoruzhko has also explored how semantic knowledge representation can enable strategic decision-making in dynamic environments, addressing the brain’s ability to abstract meaning from actions. More recently, their research on self-organizing CPGs for biomorphic fish robots—cited 6 times—showcases how neural-inspired oscillators can generate adaptive, rhythmic locomotion in artificial systems. By integrating neural decoding, cognitive modeling, and bio-inspired control, Khoruzhko’s work advances both rehabilitative technology and autonomous robotics, laying groundwork for machines that learn and move like living organisms.