Tracking and Mapping of Spatiotemporal Quantities Using Unicellular Swarm Intelligence
Springer International Publishing (Verlag)
978-3-319-27423-2 (ISBN)
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.
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.
Erscheinungsdatum | 08.10.2016 |
---|---|
Reihe/Serie | Biosystems & Biorobotics |
Zusatzinfo | X, 194 p. 128 illus., 75 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Technik ► Elektrotechnik / Energietechnik | |
Technik ► Maschinenbau | |
Schlagworte | Bacteria Controller • Complexity • Complex Spatiotemporal Profiles • Dynamic Sensors • Engineering • Environmental Engineering/Biotechnology • Flocking Behavior • Flocking Controller • Invisible Spatiotemporal Quantities • Microbiology • Mobile Robots • multi-agent algorithms • Pollution Monitoring • Robotics and Automation • Self-Organizing Swarm • Statistical Physics, Dynamical Systems and Complex • Swarm Of Uavs |
ISBN-10 | 3-319-27423-6 / 3319274236 |
ISBN-13 | 978-3-319-27423-2 / 9783319274232 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
aus dem Bereich