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About

Ciprian Lupu is a researcher specializing in autonomous robotics, real-time control systems, and IoT-driven smart infrastructure, with a particular focus on bridging intelligent automation with practical applications in urban and industrial environments. His work spans the design and implementation of autonomous mobile robot platforms, exploring computer vision-guided navigation, self-charging capabilities, and sensor-based longitudinal control systems. Lupu has made notable contributions to vehicle platooning technology, developing and experimentally validating adaptive cruise control algorithms that improve inter-vehicle spacing and traffic flow efficiency — work that positions him at the intersection of robotics and intelligent transportation systems. Beyond mobile robotics, Lupu has extended his research vision to collaborative IoT architectures, proposing democratic, decentralized frameworks for machine interaction within Industry 4.0 paradigms, reflecting a broader systems-thinking approach to engineering. His 2019 work on real-time IoT architectures for urban water management demonstrates a compelling application of these principles to critical infrastructure. With multiple papers accumulating citations across robotics, autonomous systems, and smart city technologies, Lupu's research offers valuable insights for students and engineers working at the frontier of automation, embedded systems, and intelligent control — making his body of work an increasingly relevant reference in modern engineering scholarship.