Giovanni D'urso

The University of Sydney, University of Technology Sydney

Papers

Total Citations

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About

Giovanni D’Urso is a researcher in multi-robot systems and autonomous coordination, with a focus on scalable, real-world applications in marine robotics and warehouse logistics. His work addresses critical challenges in deploying teams of heterogeneous robots—such as combining low-cost underactuated floats with fully actuated surface vessels—to improve the cost-effectiveness and scalability of autonomous systems for environmental monitoring. D’Urso’s most-cited paper, “Multi-vehicle refill scheduling with queueing” (2017, 11 citations), tackles coordination under uncertainty, while his hierarchical Monte Carlo tree search approach for multi-vessel multi-float systems (2021, 8 citations) advances planning in complex marine environments. More recently, his distributed equitable partitioning algorithm for warehouse picking (2023) directly addresses the economic pressures of e-commerce, where order fulfilment accounts for 55–70% of operational costs. By integrating stochastic demand and real-time allocation, D’Urso’s work promises substantial throughput improvements. His research sits at the intersection of operations research, robotics, and AI, offering practical solutions for autonomous systems that must operate reliably and efficiently in dynamic, resource-constrained settings.