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About

Martijn Mes is a prominent researcher specializing in intelligent logistics, autonomous delivery systems, and operations research, with a particular focus on last-mile delivery optimization and dynamic routing under uncertainty. His work sits at the intersection of combinatorial optimization, simulation, and machine learning, addressing some of the most pressing challenges in modern urban logistics. Mes has made significant contributions to the emerging field of autonomous delivery, pioneering research on drone- and robot-assisted vehicle routing problems. His highly cited 2023 paper on drone-assisted vehicle routing with robot stations (32 citations) established foundational frameworks for hybrid delivery architectures, work he has since extended to multi-depot, two-tier systems incorporating sidewalk robots and time windows. His research rigorously compares delivery technologies — drones, robots, and trucks — offering actionable trade-off analyses for logistics practitioners. Beyond physical routing, Mes has advanced the application of reinforcement learning and neural networks to dynamic vehicle routing problems, recognizing that real-world delivery environments demand adaptive, uncertainty-aware decision-making. His interdisciplinary reach is further demonstrated by innovative simulation work on cooperative robotics in dairy farming. Collectively, his portfolio reflects a researcher whose contributions are rapidly shaping the future of autonomous logistics and intelligent transportation systems.