Ulteriori informazioni
The book discusses new algorithms capable ofsearching for, tracking, mapping and providing a visualization of invisiblesubstances. It reports on the realization of a bacterium-inspired roboticcontroller that can be used by an agent to search for any environmental spatialfunction such as temperature or pollution. Using the parameters of amathematical model, the book shows that it is possible to control theexploration, exploitation and sensitivity of the agent. This feature sets thework apart from the usual method of applying the bacterium behavior to roboticagents. The book also discusses how a computationally tractable multi-agentrobotic controller was developed and used to track as well as provide a visualmap of a spatio-temporal distribution of a substance. On the one hand, thisbook provides biologists and ecologists with a basis to perform simulationsrelated to how individual organisms respond to spatio-temporal factors in theirenvironment as well as predict and analyze the behavior of organisms at apopulation level. On the other hand, it offers robotic engineers practical andfresh insights into the development of computationally tractable algorithms forspatial exploratory and mapping robots. It also allows a more general audienceto gain an understanding of the design of computational intelligence algorithmsfor autonomous physical systems.
Sommario
Introduction.- Literature Review.- Investigative Process.- Developing and Implementing a Source Finding Controller.- Relationship between the Berg-Brown Model and the Keller-Segel Model.- Behaviour Based Coverage Controller.- Improvements and towards RealWorld Applications.- Conclusion.
Riassunto
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.
