Junsu Kim

Papers

Total Citations

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About

Junsu Kim is a rising researcher in logistics and robotics, whose work focuses on the critical intersection of autonomous systems and last-mile delivery. His key research areas include robot routing in complex indoor environments and drone-assisted multimodal logistics, addressing the practical challenges of bringing automated delivery from the curb to the customer's door. Kim's most notable contribution is his 2022 paper on the "Robot Routing Problem of Last-Mile Delivery in Indoor Environments," which has garnered 15 citations for pioneering a new problem class that accounts for the unique constraints of navigating hallways, elevators, and building layouts. This work extends beyond traditional outdoor-focused studies, providing a foundational framework for indoor delivery logistics. More recently, his 2024 study on "Drone-Assisted Multimodal Logistics" (8 citations) employs advanced text-mining techniques to map two decades of research trends, identifying key gaps and future directions in this rapidly evolving field. Through these contributions, Kim is helping to shape the next generation of efficient, multi-modal delivery systems that seamlessly integrate ground robots and aerial drones.