Papers
13
Total Citations
384
H-Index
8
About
Hyondong Oh is a robotics researcher whose work spans swarm robotics, autonomous aerial vehicles, and bio-inspired control systems. His most influential contribution, a 2017 review of bio-inspired self-organising multi-robot pattern formation (201 citations), established him as a leading voice in swarm intelligence, synthesising how biological principles can guide coordinated robot behaviour. This theme runs throughout his career: from evolving hierarchical gene regulatory networks for morphogenetic swarm patterning to morphogen diffusion algorithms for kilobot tracking and herding, Oh has consistently translated biological developmental mechanisms into practical multi-robot frameworks. More recently, Oh has expanded into autonomous UAV navigation, exploring deep reinforcement learning and imitation learning with sequential neural networks for vision-based obstacle avoidance and autonomous flight. His work on flapping-wing robots further demonstrates a commitment to biologically inspired aerial platforms. Beyond research, Oh has made notable contributions to robotics education, developing hands-on Lego Mindstorms-based curricula for teaching guidance, navigation, and control at graduate level. His broader portfolio also touches on advanced sliding-mode control for robotic manipulators. Collectively, his research bridges biological inspiration, autonomous systems, and engineering education, making him a distinctive and versatile figure in modern robotics.
Research Focus
Key Achievements
Top Papers
- 1Bio-inspired self-organising multi-robot pattern formation: A review201 citations · 2017
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- 6Adaptive Swarm Robot Region Coverage Using Gene Regulatory Networks19 citations · 2014
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- 8Using Hands-on Project with Lego Mindstorms in a Graduate Course10 citations · 2014
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