John Oluwagbemiga Oyekan

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Inspired by the simplicity of how nature solves its problems, a controller based upon the bacteria chemotaxis behavior and flocking of starlings in nature is developed and presented. It would enable the localization and subsequent mapping of pollutants in the environment. The pollutants could range from chemical leaks to invisible air borne hazardous(More)
—Inspired by the simplicity of how nature solves its problems, we develop a flocking controller that would enable the localisation and subsequent mapping of environmental pollutants. Pollutants could range from checimal leaks to invisible air borne harzardous materials. We use simulation results to validate our approach and then briefly discuss how to(More)
—Inspired by the simplicity of how nature solves its problems, an approach that would enable robotic agents form a visual representation of an invisible hazardous substance is presented. Such an approach would be very useful if emergency services need to systematically and strategically evacuate an area affected by invisible substance especially in a(More)
—Providing a visual image of a hazardous substance such as nerve gas or nuclear radiation using multiple robotic agents could be very useful particularly when the substance is invisible. Such visual representation could show where the hazardous substance concentration is highest through the deployment of a higher density of robotic agents to that area(More)
Behaviour-based robotics is a paradigm that was proposed by Rodney Brooks in 1986. This paradigm proposes that robotic solutions should be developed by combining various reactive behaviours in an architecture. This survey overviews various biologically inspired source-seeking and multi-agent algorithms that could be combined in a behavior-based architecture(More)
Inspired by the simplicity of how nature solves its problems, this paper presents a novel approach that would enable a swarm of ant robotic agents (robots with limited sensing, communication, computational and memory resources) form a visual representation of distributed hazardous substances within an environment dominated by diffusion processes using a(More)
—Inspired by self-organization in natural organisms, an approach that would enable robotic agents form a visual representation of an invisible distributed hazardous substance is presented. Such a resource would enable humans observe and stay away from areas of high hazardous substance concentration. In this work, a proportional-integral control law and a(More)
Environments can range from low peclet numbers in which diffusion is predominant to high peclet numbers in which turbulence and advection occur. Control algorithms deployed on robotic platforms to monitor spatiotemporal distributions are often very specific to a particular peclet number environment and suffer reduction in efficiency when used in another(More)
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