Chika Yinka-Banjo
Papers
14
Total Citations
165
H-Index
6
About
Chika Yinka-Banjo is a robotics and artificial intelligence researcher whose work spans autonomous systems, swarm intelligence, and unmanned vehicles. With a career built on advancing intelligent robotic behaviour, her research addresses some of the most pressing challenges in robot navigation, multi-robot coordination, and real-world applications of autonomous systems. Her most cited work, "Sky-Farmers: Applications of Unmanned Aerial Vehicles (UAV) in Agriculture" (2020, 85 citations), demonstrates her ability to bridge cutting-edge robotics with practical domains, exploring how UAV technology can revolutionize modern farming. Her earlier contributions laid important theoretical groundwork, including probabilistic approaches to collision avoidance using Bayesian Networks and k-NN models, and swarm intelligence techniques for mobile robot path planning. Notably, her research on cooperative multi-robot systems for underground mine safety inspections highlights a commitment to deploying robotics in high-risk environments to protect human lives. More recently, she has explored Markov Decision Processes for pipeline inspection via unmanned vehicles. Across more than a decade of scholarship, Yinka-Banjo has consistently demonstrated expertise in making autonomous robots smarter, safer, and more practically deployable, earning recognition as a versatile and impactful voice in computational intelligence and robotics research.
Research Focus
Key Achievements
Top Papers
- 1Sky-Farmers: Applications of Unmanned Aerial Vehicles (UAV) in Agriculture85 citations · 2020
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- 8Multi-robot Systems5 citations · 2014
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