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About

Georgios Kyprianou is a researcher at the forefront of robotics, with a focus on multi-robot systems, industrial automation, and educational technology. His most impactful work, “Towards the Achievement of Path Planning with Multi-robot Systems in Dynamic Environments” (38 citations), addresses the critical challenge of coordinating multiple robots in unpredictable settings, advancing autonomous navigation for real-world applications. Kyprianou also contributes to Industry 4.0, as seen in “Bin-Picking in the Industry 4.0 Era,” which tackles complex industrial automation problems like robotic bin-picking. A significant portion of his research centers on educational robotics (ER), where he explores learner engagement and design expectations. His 2023 study, “Engaging Learners in Educational Robotics,” uncovers students’ ideal robotic platform features, while “How an Educational Robot Should Look Like” captures student perspectives on robot aesthetics and functionality. Most recently, his 2025 work, “Transforming Education with AI and Robotics,” examines the infrastructure and perceptions needed for integrating AI and robotics into learning environments. With a growing citation record and a clear focus on bridging robotics with education and industry, Kyprianou’s work is shaping how robots are designed, deployed, and taught—making him a key voice in both technical and pedagogical robotics research.