Papers
26
Total Citations
780
H-Index
12
About
John Oyekan is a multidisciplinary researcher whose work spans robotics, swarm intelligence, human-robot collaboration, and the application of Industry 4.0 technologies across construction, aerospace, and environmental monitoring. His most influential contribution, "Utilizing Industry 4.0 on the Construction Site" (2020), has amassed over 271 citations, establishing him as a leading voice on digital transformation in the built environment. Equally impactful is his work on virtual environments for human-robot collaboration (208 citations), which demonstrated how simulation tools can bridge the gap between autonomous industrial systems and human workers. Oyekan's earlier research laid important foundations in bio-inspired robotics, with swarm-based systems modelled on bacterial and ant behaviour used to visualise and map invisible hazardous substances — a creative fusion of natural intelligence and engineering problem-solving. His more recent work advances deep multi-agent reinforcement learning for aerial robot swarms and cable-driven parallel robots, tackling real-world challenges in autonomous load transport and aerospace MRO through digital twin technologies. Across more than a decade of research, Oyekan has consistently pushed boundaries at the intersection of intelligent systems, autonomy, and industrial application, making his portfolio essential reading for anyone exploring the future of smart manufacturing and collaborative robotics.
Research Focus
Key Achievements
Top Papers
- 1Utilizing Industry 4.0 on the Construction Site: Challenges and Opportunities271 citations · 2020
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- 4Mobile sensor networks for modelling environmental pollutant distribution27 citations · 2011
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- 7Ant Robotic Swarm for Visualizing Invisible Hazardous Substances18 citations · 2013
- 8Visual Imaging of Invisible Hazardous Substances Using Bacterial Inspiration17 citations · 2013
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- 10Exploiting bacteria swarms for pollution mapping15 citations · 2009