George K. Karavas

National Technical University of Athens, Georgia Institute of Technology, Arizona State University

Papers

Total Citations

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About

George K. Karavas is a researcher at the intersection of robotics, control theory, and human-machine interaction, with key contributions in visual servoing, swarm robotics, and brain-machine interfaces. His most cited work presents a robustness analysis of Nonlinear Model Predictive Control (NMPC) for constrained Image-Based Visual Servoing, addressing critical challenges posed by external disturbances in aerial and underwater robotic systems—a paper that has garnered 31 citations and laid groundwork for reliable autonomous navigation. Karavas has also pioneered work in Human Swarm Interaction (HSI), exploring how human operators can effectively control robotic swarms. His 2017 study on a hybrid Brain-Machine Interface (BMI) for swarm control (20 citations) demonstrates how intuitive neural signals can simplify complex swarm management. Further, his investigation into how swarm collective behavior affects human perception (11 citations) bridges robotics and cognitive science, advancing the concept of brain-swarm interfaces. By combining rigorous control theory with innovative human-robot interaction paradigms, Karavas has shaped research on making multi-agent robotic systems both more robust and more accessible to human operators.