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About

Milan Groshev is a researcher at the forefront of intelligent cyber-physical systems, edge computing, and robotics, with a particular focus on bridging the gap between artificial intelligence, digital twins, and next-generation network technologies. His most influential work, "Toward Intelligent Cyber-Physical Systems: Digital Twin Meets Artificial Intelligence" (2021, 143 citations), established him as a leading voice in Industry 4.0, demonstrating how AI can transform industrial process monitoring and automation. Groshev has made significant contributions to edge robotics and cloud-native architectures, exploring how computational offloading and real-time control can overcome the limitations of centralized cloud systems — a thread evident across multiple high-impact publications. His 2020 paper on edge-based digital twins for robotics (52 citations) proposed practical frameworks for remote robotic control and enhanced automation. More recently, his research has expanded into 5G-enabled robot orchestration and energy-aware systems, addressing critical sustainability challenges in mobile robotics. With work spanning network slicing, wireless resilience mechanisms like FoReCo, and experimental system validation, Groshev's research consistently moves from theoretical foundations to real-world implementation, making him a valuable reference for anyone exploring the intersection of AI, robotics, and industrial networking.