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About

George Kokotinis is a leading researcher at the intersection of robotics, artificial intelligence, and smart manufacturing, with a focus on human-robot collaboration and flexible material handling. His work addresses critical challenges in Industry 4.0, particularly in reconfigurable manufacturing systems for complex, large-part production. Kokotinis’s most cited paper (34 citations) provides a comprehensive review of digital twins and planning systems for flexible materials, establishing foundational knowledge in the field. He has made significant contributions to quantifying human-robot collaboration quality (27 citations), bridging technological and social science perspectives to improve human-machine cooperation. His research on AI-enhanced cooperating robots (22 citations) and Behavior Trees-based architectures for hybrid manufacturing (16 citations) demonstrates practical frameworks for task allocation and process scheduling in collaborative environments. Kokotinis’s recent work (2024) explores industrial ecosystems integrating AI, Big Data, and robotics to create adaptable production systems resilient to global disruptions. With a growing citation impact and a focus on real-world manufacturing challenges, his research is shaping the future of flexible, intelligent, and human-centric automation.