M. V. Lukoyanov

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About

M. V. Lukoyanov is a leading researcher in neurorehabilitation and human-machine interaction, specializing in brain-computer interfaces (BCIs) and robotic exoskeleton control systems. His most-cited work, "Exoskeleton Control System Based on Motor-Imaginary Brain–Computer Interface" (2017, 45 citations), pioneers the integration of EEG-based motor imagery recognition with lower-limb robotic exoskeletons, enabling intuitive, thought-driven movement assistance for individuals with motor impairments. This contribution bridges neural signal processing and assistive robotics, offering a non-invasive pathway to restore mobility. Lukoyanov’s research has significant implications for clinical rehabilitation, advancing the development of adaptive, user-responsive exoskeletons. His work is widely recognized for its technical innovation and practical impact, with citations reflecting its influence on subsequent BCI and exoskeleton studies. By combining neuroscience, signal processing, and mechanical engineering, Lukoyanov continues to push the boundaries of assistive technology, aiming to improve quality of life for patients with paralysis or limb weakness. His achievements underscore a commitment to translating complex neural interfaces into real-world solutions.