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About

Gintautas Narvydas is a versatile researcher whose work spans human-computer interaction, autonomous robotics, biomedical engineering, and wearable technology. His early contributions focused on assistive technologies, most notably developing a discrete eye tracking system designed to help individuals with disabilities communicate through voluntary eye movements — work that garnered 34 citations and established him as an innovator in accessible interface design. He further refined this approach using principal component analysis and neural classifiers to improve system accuracy. In parallel, Narvydas made significant strides in autonomous mobile robotics, exploring fuzzy logic, if-then rule systems, and genetic algorithms to enable robots to navigate unknown, obstacle-rich environments efficiently, with these contributions earning a combined 32 citations. His methodology reflects a commitment to intelligent, adaptive control systems. More recently, Narvydas extended his expertise into biomedical automation, proposing a robotic platform for dental material analysis using jerk-optimized trajectory planning, and developing a wearable permanent magnet tracking method for assessing jaw movement and detecting bruxism. Together, these works demonstrate a research career defined by translating intelligent systems and engineering principles into practical, human-centered medical and assistive applications.