M. Margarida Oliveira

Papers

Total Citations

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About

M. Margarida Oliveira is a researcher focused on the intersection of robotics, logistics, and energy management, with a particular emphasis on intelligent warehouse automation. Her key research areas include battery state estimation, automated guided vehicle (AGV) routing, and operational efficiency in warehouse systems. Oliveira’s major contributions lie in developing methods to monitor and predict battery State of Charge (SOC) for robotic forklifts and AGVs, addressing a critical bottleneck in warehouse logistics: the downtime caused by battery recharging or replacement. By integrating SOC data into routing algorithms, her work enables more reliable, just-in-time goods delivery, directly enhancing system performance. Her most cited paper, “Battery state estimation for applications in intelligent warehouses” (2011, 17 citations), lays foundational groundwork for this approach, while a subsequent study (2013, 4 citations) refines the model for robotic forklift routing. Though her citation counts are modest, Oliveira’s research is notable for its practical, industry-oriented focus, offering tangible solutions to real-world warehouse automation challenges. Her work is especially relevant for students and researchers exploring energy-aware logistics, robotics, and smart manufacturing systems.