Jonathan McColgan
Papers
2
Total Citations
10
H-Index
2
About
Jonathan McColgan is a researcher whose work sits at the intersection of robotics, biomimicry, and collective behavior, with a particular focus on autonomous underwater vehicles (AUVs). His primary research areas include the coordination of multi-robot systems, bio-inspired propulsion and steering mechanisms, and decentralized swarm control. McColgan’s most notable contributions center on the development and analysis of schools of robotic fish that coordinate using nearest-neighbor principles—a biologically inspired approach that allows individual AUVs to maintain group cohesion without centralized control. His 2014 paper, "Coordination of a school of robotic fish using nearest neighbour principles," has garnered 7 citations, while his 2015 follow-up, "Analysis of the group structure of a school of biomimetic AUVS coordinated using nearest neighbour principles," has received 3 citations. These works are significant for advancing the practical application of swarm intelligence in underwater robotics, particularly in improving propulsive efficiency at low speeds through biomimetic design. McColgan’s research holds promise for enhancing the endurance and autonomy of underwater vehicles used in environmental monitoring, oceanographic research, and maritime surveillance.
Research Focus
Key Achievements
Top Papers
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