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About

Vidas Raudonis is a Lithuanian researcher whose work spans intelligent robotics, assistive technology, and biomedical engineering. His research career has been shaped by a commitment to developing practical, intelligent systems that improve both human lives and autonomous machine performance. Raudonis made early contributions to assistive technology through his discrete eye tracking system, designed to help people with disabilities communicate and interact through voluntary eye movements — work that has garnered 34 citations and remains his most recognized contribution. Simultaneously, he advanced autonomous mobile robotics, pioneering control strategies using fuzzy logic, genetic algorithms, and if-then rules to navigate robots through unknown, obstacle-filled environments, with those works accumulating nearly 32 citations combined. His research has since expanded into hierarchical robot control architectures, Petri net-based navigation modeling, and multi-robot collision prediction using virtual cocoons. More recently, Raudonis has ventured into cutting-edge medical robotics, contributing to a digital twin framework for robotic post-mortem tissue sampling using virtual reality, and developing the BiomacEMG system — a Pareto-optimized platform leveraging EMG signals and machine learning to assess hand movement and track stroke rehabilitation progress. Together, these works paint the portrait of a versatile researcher dedicated to bridging intelligent systems with meaningful human applications.