Christos Glykos

Papers

Total Citations

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About

Christos Glykos is a researcher at the forefront of intelligent manufacturing and robotics, specializing in digital twin technology, AI-driven task planning, and dynamic reconfiguration for cooperative robotic systems. His work addresses the critical challenge of enabling flexible, autonomous production lines that can adapt in real-time to changing demands. Glykos’s most cited paper, "A Digital Twin-based paradigm for programming and control of cooperating robots in reconfigurable production systems" (2024, 13 citations), introduces a foundational framework that bridges virtual simulation and physical control, allowing multiple robots to collaborate seamlessly in reconfigurable environments. This contribution has quickly gained traction for its practical approach to Industry 4.0 challenges. Expanding on this, his subsequent work, "Towards AI-driven task and motion planning of robotic assembly operations" (2025, 2 citations), explores the integration of artificial intelligence to enhance dynamic planning and human-robot collaboration, while "An AI-Based Decision-Making Framework with Task Planning and Dynamic Reconfiguration Capabilities" (2024, 2 citations) further solidifies his expertise in creating adaptive, intelligent systems. With a growing citation record and a clear trajectory toward autonomous manufacturing, Glykos is establishing himself as a key voice in the next generation of smart production technologies.