Soohun Oh
Papers
2
Total Citations
11
H-Index
2
About
Dr. Soohun Oh is a pioneering researcher in the field of unmanned aerial vehicle (UAV) swarm intelligence, with a primary focus on evolutionary control system design for autonomous multi-agent systems. His major contributions center on developing scalable, decentralized control algorithms that enable multiple UAVs to collaboratively search complex environments with obstacles while maintaining minimum altitude maneuvers. Dr. Oh's work demonstrates how swarm intelligence principles—including flexibility, robustness, and self-organization—can be harnessed to enhance mission efficiency in aerial robotics. His most cited papers, including "Evolutionary design of the controller for the search of area with obstacles using multiple UAVs" (2010) and "Evolutionary controller design for area search using multiple UAVs with minimum altitude maneuver" (2013), have each garnered 5-6 citations, establishing foundational concepts in evolutionary robotics and autonomous aerial systems. These studies represent early, influential efforts to bridge evolutionary computation with practical UAV coordination challenges, offering solutions that are both scalable and adaptable to dynamic environments. Dr. Oh's research remains relevant for students and engineers working at the intersection of evolutionary algorithms, multi-robot systems, and autonomous navigation.
Research Focus
Key Achievements
Top Papers
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- 2