Tea Castellucci
Papers
1
Total Citations
2
H-Index
1
About
Tea Castellucci is a researcher focused on the intersection of logistics, automation, and robotics, with a particular emphasis on the performance and flexibility of autonomous systems in industrial settings. Her work addresses the critical challenge of adapting material handling and palletizing systems to handle rising product variety and demand variability. In her most-cited paper, "Evaluating The Performance Of Autonomous Mobile Robots In An Automated Palletizing System: A Simulation Model" (2023), Castellucci develops a simulation framework to assess how autonomous mobile robots (AMRs) can improve flexibility and efficiency in palletizing operations, offering a data-driven approach to system design. This contribution is especially relevant for companies seeking to maintain competitive costs and short lead times while adapting to fluctuating market demands. Though early in her career, her work has already garnered attention, with the paper cited twice, signaling its growing relevance in the fields of logistics engineering and robotics. Castellucci’s research is a valuable resource for students and practitioners exploring the practical deployment of AMRs in dynamic, high-variety production environments.
Research Focus
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Top Papers
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