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Tracking and Mapping of Spatiotemporal Quantities Using Unicellular Swarm Intelligence
Visualisation of Invisible Hazardous Substances Using Unicellular Swarm Intelligence
Engleski
249 b
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The book discusses new algorithms capable of§searching for, tracking, mapping and providing a visualization of invisible§substances. It reports on the realization of a bacterium-inspired robotic§controller that can be used by an agent to search for any environmental spatial§function such as temperature or pollution. Using the parameters of a§mathematical model, the book shows that it is possible to control the§exploration, exploitation and sensitivity of the agent. This feature sets the§work apart from the usual method of applying the bacterium behavior to robotic§agents. The book also discusses how a computationally tractable multi-agent§robotic controller was developed and used to track as well as provide a visual§map of a spatio-temporal distribution of a substance. On the one hand, this§book provides biologists and ecologists with a basis to perform simulations§related to how individual organisms respond to spatio-temporal factors in their§environment as well as predict and analyze the behavior of organisms at a§population level. On the other hand, it offers robotic engineers practical and§fresh insights into the development of computationally tractable algorithms for§spatial exploratory and mapping robots. It also allows a more general audience§to gain an understanding of the design of computational intelligence algorithms§for autonomous physical systems.§
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