Abstract
In this book, the development of a controller that would enable the visual mapping or representation of an invisible spatiotemporal substance in the environment was conducted. The main requirements for the coverage controller was that it should be of minimal communication cost, computationally efficient and reactive. These requirements were chosen so that agents utilising the controller would be able to respond to dynamic changes in the distribution of the spatiotemporal substance with the fluidity of a flock of starlings in flight. If these requirements were met, then the developed controller would have an advantage over present coverage schemes that utilise machine learning and require high communication costs to achieve the same goal.
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Oyekan, J.O. (2016). Conclusion. In: Tracking and Mapping of Spatiotemporal Quantities Using Unicellular Swarm Intelligence. Biosystems & Biorobotics, vol 14. Springer, Cham. https://doi.org/10.1007/978-3-319-27425-6_8
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DOI: https://doi.org/10.1007/978-3-319-27425-6_8
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