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About

Dr. Ahmed Awouda is a leading researcher at the intersection of Industry 4.0, autonomous mobile robots (AMRs), and collaborative robotics (cobots). His work focuses on developing intelligent, data-driven solutions for automated logistics and factory networks, with a particular emphasis on energy efficiency and practical implementation. His most cited paper, "Prediction and estimation model of energy demand of the AMR with cobot for the designed path in automated logistics systems" (2021, 17 citations), introduces a novel framework for forecasting energy consumption in hybrid robot systems, a critical contribution to sustainable manufacturing. Dr. Awouda also co-authored influential works on key performance indicators for integrating mobile and collaborative robots (2019, 7 citations) and on the practical deployment of Industry 4.0 using open-source tools (2019, 7 citations). These studies bridge the gap between theoretical advances and real-world application, offering accessible pathways for small and medium enterprises. His research is widely cited for its actionable insights into robot fleet management, energy optimization, and cost-effective automation, making him a key voice in the transition toward smarter, greener factories.