Dohee Lee

Ulsan National Institute of Science and Technology

Papers

Total Citations

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About

Dohee Lee is a robotics researcher whose work focuses on swarm intelligence and multi-robot systems, particularly in the domain of foraging—a classic problem where robots must search for and collect resources in unknown environments. Lee’s major contributions center on improving the efficiency and scalability of swarm foraging algorithms. In their 2021 paper, “Multiple-Place Swarm Foraging with Dynamic Robot Chains,” Lee introduced a novel approach that deploys dynamic depots to reduce congestion near central collection zones, though they identified performance bottlenecks in larger swarms. Building on this, their 2022 work, “Dynamic Robot Chain Networks for Swarm Foraging,” proposed a solution using robot chains that dynamically reconfigure to maintain throughput as search areas and swarm sizes grow. These papers, each cited 5 times, have laid foundational groundwork for scalable, decentralized foraging strategies. Lee’s research is particularly notable for addressing real-world constraints like communication and coordination in distributed systems, making their work valuable for students and researchers interested in practical swarm robotics applications.