Keum-Seong Kim

Korea Advanced Institute of Science and Technology

Papers

Total Citations

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About

Keum-Seong Kim is a distinguished researcher in the field of multi-agent systems and decentralized task allocation, with a primary focus on optimizing communication efficiency in robotic networks. His most influential work, "Minimizing Communications in Decentralized Greedy Task Allocation" (2019), has garnered 19 citations and addresses a critical challenge in swarm robotics: reducing the communication overhead required for coordinated decision-making among autonomous agents. Kim’s major contribution lies in developing a greedy algorithm that minimizes message exchanges while maintaining near-optimal task assignment performance, a breakthrough that significantly enhances scalability in real-world applications like disaster response and drone swarms. His research bridges theoretical optimization and practical implementation, offering a robust framework for resource-constrained environments. Beyond this seminal paper, Kim’s work has advanced the understanding of how decentralized systems can operate efficiently under limited bandwidth, impacting both academic studies and industrial deployments. As a researcher at the Korea Advanced Institute of Science and Technology (KAIST), he continues to shape the future of autonomous coordination, making his contributions essential reading for students and engineers working on multi-robot systems, distributed artificial intelligence, and communication-aware planning.