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About

Konstantinos Mykoniatis is a researcher at the intersection of human-robot interaction (HRI), autonomous systems, and industrial simulation. His work focuses on designing intelligent robots that enhance accessibility and operational efficiency, with notable contributions in assistive robotics and manufacturing logistics. Among his most cited papers is the architectural design of ARTeMIS, a multi-tasking robot for people with disabilities (8 citations), and the development of CERBERUS, an autonomous robot capable of face and skeleton recognition (6 citations). These projects demonstrate his commitment to integrating artificial intelligence, computer vision, and remote control technologies to improve human-robot communication. Mykoniatis also explores the commercialization of innovation, as seen in his 2024 study on patent licensing predictors in robotics and automation (5 citations). His research extends to simulation-based optimization, including multi-method modeling of face detection systems (4 citations) and hybrid simulation for autonomous mobile robot material replenishment in assembly plants (3 citations). By combining theoretical modeling with practical applications, Mykoniatis advances both assistive robotics and smart manufacturing, making his work valuable for students and researchers interested in HRI, simulation, and automation.