Marina Brilhante

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About

Marina Brilhante is a rising researcher in industrial robotics and autonomous systems, with a focus on the comparative performance and operational flexibility of mobile robot fleets. Her work centers on evaluating Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs), two pivotal technologies reshaping modern manufacturing and logistics. In her most-cited study, “AGVs vs AMRs: A Comparative Study of Fleet Performance and Flexibility” (2024, 6 citations), Brilhante systematically contrasts the high accuracy of AGVs in repetitive tasks with the adaptability of AMRs in dynamic environments, offering critical insights for fleet deployment decisions. She further explores standardization in mobile robot control through her work on the VDA5050 protocol, a key step toward interoperability in heterogeneous fleets. Though early in her career, Brilhante’s contributions are already informing industrial automation strategies, and her research is gaining traction among practitioners and academics alike. Her work promises to guide the next generation of flexible, scalable warehouse and factory automation systems.