Overview
- Describes novel biological inspired algorithms
- as well as their validation and analysis using simulation and physical
- Provides readers with an insight on how to cast an engineering problem into a nature that can be solved using biological inspired solutions
- Presents a good balance between theory and practice: from the analysis of biological systems to the implementation of bioinspired algorithms for engineering control purposes
- Includes supplementary material: sn.pub/extras
Part of the book series: Biosystems & Biorobotics (BIOSYSROB, volume 14)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (8 chapters)
-
Front Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Tracking and Mapping of Spatiotemporal Quantities Using Unicellular Swarm Intelligence
Book Subtitle: Visualisation of Invisible Hazardous Substances Using Unicellular Swarm Intelligence
Authors: John Oyekan
Series Title: Biosystems & Biorobotics
DOI: https://doi.org/10.1007/978-3-319-27425-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2016
Hardcover ISBN: 978-3-319-27423-2Published: 29 December 2015
Softcover ISBN: 978-3-319-80139-1Published: 29 March 2019
eBook ISBN: 978-3-319-27425-6Published: 18 December 2015
Series ISSN: 2195-3562
Series E-ISSN: 2195-3570
Edition Number: 1
Number of Pages: X, 194
Number of Illustrations: 53 b/w illustrations, 75 illustrations in colour
Topics: Robotics and Automation, Complexity, Environmental Engineering/Biotechnology, Microbiology, Complex Systems, Statistical Physics and Dynamical Systems