Tracking and Mapping of Spatiotemporal Quantities Using Unicellular Swarm Intelligence : Visualisation of Invisible Hazardous Substances Using Unicellular Swarm Intelligence

Intro -- Preface -- Contents -- 1 Introduction -- 1.1 Motivation -- 1.2 Challenging Issues and Research Objectives -- 1.3 Proposed Approaches -- 1.3.1 Searching Nature for Biological Solutions -- 1.3.2 Importing Biological Solutions to Engineering -- 1.3.3 Refining, Re-engineering and Combining Solutions -- 1.3.4 Deployment of Biological Solution on Robots -- 1.3.5 Testing -- 1.4 Research Methodology -- 1.4.1 Experimental Setups -- 1.4.2 Data Collection -- 1.4.3 Data Analysis -- 1.5 Book Contributions -- 1.6 Book Layout and Relevant Peer Reviewed Publications -- References -- 2 Literature Review -- 2.1 The Case for Multi-Agent Coverage -- 2.2 Present Multi-Agent Coverage Techniques -- 2.2.1 The Use of Voronoi Diagrams (Also Known as Voronoi Tessellation) -- 2.2.2 The Use of Virtual Spring Mesh -- 2.2.3 Optimotaxis -- 2.2.4 Deterministic Annealing -- 2.3 Behaviour Based Robotics -- 2.3.1 Source Seeking Algorithms -- 2.3.2 Multi-Agent Control Algorithms -- 2.4 Summary -- References -- 3 Investigative Process -- 3.1 Identifying the Parameters -- 3.1.1 Bacteria Controller -- 3.1.2 Flocking Controller -- 3.2 Simulations -- 3.2.1 Low Peclet Number Environment -- 3.2.2 Medium Peclet Number Environment -- 3.2.3 Experiments in a Three-Dimensional Environment -- 3.3 Physical Experiments -- 3.3.1 Low Peclet -- 3.3.2 Medium Peclet -- 3.4 Data Collection and Analysis -- 3.4.1 Simulated Experiments -- 3.4.2 Physical Experiments -- 3.5 Problems Encountered and Addressed -- 3.6 Summary -- Reference -- 4 Developing and Implementing a Source Finding Controller -- 4.1 Berg and Brown Controller for Low Peclet Environment -- 4.1.1 Control Law -- 4.1.2 Simulation Implementation -- 4.1.3 Results -- 4.1.4 Implementation on a Physical Platform -- 4.1.5 Results -- 4.1.6 Discussion and Tuning the System -- 4.2 Berg and Brown Controller for Medium Peclet Environment..

Medienart:	E-Book

Erscheinungsjahr:	2015 ©2016
Erschienen:	Cham: Springer International Publishing AG ; 2015 ©2016

Reihe:	Biosystems and Biorobotics Ser. - v.14

Sprache:	Englisch

Beteiligte Personen:	Oyekan, John [VerfasserIn]

Links:	ebookcentral.proquest.com [lizenzpflichtig]

ISBN:	978-3-319-27425-6

Themen:	Electronic books Engineering

Anmerkungen:	Description based on publisher supplied metadata and other sources

Umfang:	1 online resource (202 pages)

Förderinstitution / Projekttitel:

PPN (Katalog-ID):	1746115130