Idil Helin Ozen
Papers
1
Total Citations
2
H-Index
1
About
Idil Helin Ozen is a researcher whose work lies at the intersection of artificial intelligence, multi-agent systems, and automated planning. Her primary contributions focus on the challenging domain of multi-agent pick and delivery with capacities, a problem central to logistics, warehouse automation, and robotics. In her most-cited paper, "Multi-agent Pick and Delivery with Capacities: Action Planning Vs Path Finding" (2022), Ozen systematically compares two fundamental approaches—action planning and path finding—for coordinating multiple agents under resource constraints. This work provides critical insights into the trade-offs between computational efficiency and solution quality, offering practical guidance for designing scalable systems in real-world applications. While her citation count is still emerging, her research addresses a pressing need in autonomous systems, where efficient coordination can dramatically improve throughput and reduce costs. Ozen’s work is particularly notable for its clarity in bridging theoretical planning algorithms with applied multi-agent coordination, making it a valuable resource for students and practitioners alike. As the field of multi-agent logistics continues to grow, her contributions are poised to gain increasing recognition.
Research Focus
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Top Papers
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