Seong‐Lyun Kim
Papers
6
Total Citations
303
H-Index
4
About
Seong-Lyun Kim is a leading researcher at the intersection of wireless communications, machine learning, and networked robotics. His work is fundamentally reshaping how intelligent systems communicate and collaborate, from the edge of 5G networks to teams of autonomous robots. His most influential contribution, the 2021 paper "Communication-efficient and distributed learning over wireless networks," has garnered over 220 citations, establishing a foundational framework for deploying machine learning in resource-constrained, real-time environments. This work is critical for enabling proactive, decentralized decision-making in next-generation communication systems. Beyond this, Kim has pioneered the application of wireless multihop communications to multi-robot systems, addressing core challenges in collaborative pathfinding and patrolling. His research on cooperative algorithms, such as the multiple Cycle Sharing Algorithm for patrolling, demonstrates a sustained commitment to solving practical coordination problems. Through his editorial work on wireless communications in networked robotics, Kim has helped define and advance this interdisciplinary field, making him a pivotal figure for students and researchers exploring the future of distributed intelligence and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Multi-robot path finding with wireless multihop communications45 citations · 2010
- 3Wireless communications in networked robotics [Guest editorial20 citations · 2009
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