Standard approaches to understanding swarms relyon inspiration from biology and are generally coveredby the term “biomimetics”. This book focuses on adifferent, complementary inspiration, namely physics.The editors have introduced the term 'physicomimetics'to refer to physics-based swarm approaches, which offertwo advantages. First, they capture the notion that“nature is lazy', meaning that physics-based systems alwaysperform the minimal amount of work necessary, which is an especially important advantage in swarm robotics.Second, physics is the most predictive science, and can reduce complex systems to simple concepts and equationsthat codify emergent behavior and help us to design and understand swarms.
The editors consolidated over a decade of work on swarm intelligence and swarm robotics, organizing the book into19 chapters as follows. Part I introduces the concept ofswarms and offers the reader a physics tutorial; Part IIdeals with applications of physicomimetics, in order ofincreased complexity; Part III examines the hardwarerequirements of the presented algorithms and demonstrates real robot implementations; Part IV demonstrates how thetheory can be used to design swarms from first principlesand provides a novel algorithm that handles changingenvironments; finally, Part V shows that physicomimeticscan be used for function optimization, moving the readerfrom issues of swarm robotics to swarm intelligence. Thetext is supported with a downloadable package containingsimulation code and videos of working robots.
This book is suitable for talented high school and undergraduate students, as well as researchers andgraduate students in the areas of artificial intelligenceand robotics.
|Publisher:||Springer Berlin Heidelberg|
|Product dimensions:||6.10(w) x 9.25(h) x (d)|
About the Author
Dr. William Spears is the CEO of Swarmotics LLC, a company that provides consulting expertise in distributed agents, sensing networks, artificial intelligence, machine learning, optimization, and swarm robotics; he was formerly a professor in the Dept. of Computer Science at the University of Wyoming, Laramie. Dr. Diana Spears was a professor in the Dept. of Computer Science at the University of Wyoming, Laramie, and is currently a director of Swarmotics, LLC.
Table of Contents
Part I- Introduction
Chap. 1 - Nature Is Lazy
Chap. 2 - NetLogo and Physics
Chap. 3 - NetLogo and Physicomimetics
Chap. 4 - Pushing the Envelope
Part II - Robotic Swarm Applications
Chap. 5 - Local Oriented Potential Fields: Self-deployment and Coordination of an Assembling Swarm of Robots
Chap. 6 - Physicomimetics for Distributed Control of Mobile Aquatic Sensor Networks in Bioluminescent Environments
Chap. 7 - Gas-Mimetic Swarms for Surveillance and Obstacle Avoidance
Chap. 8 - A Multirobot Chemical Source Localization Strategy Based on Fluid Physics: Theoretical Principles
Chap. 9 - A Multirrobot Chemical Source Localization Strategy Based on Fluid Physics: Experimental Results
Part III - Physicomimetics on Hardware Robots
Chap. 10 - What Is a Maxelbot?
Chap. 11 - Uniform Coverage
Chap. 12 - Chain Formations
Chap. 13 - Physicomimetic Motion Control of Physically Constrained Agents
Part IV - Prediction, Adaptation, and Swarm Engineering
Chap. 14 - Adaptive Learning by Robot Swarms in Unfamiliar Environments
Chap. 15 - A Statistical Framework for Estimating the Success Rate of Liquid-Mimetic Swarms
Chap. 16 - Physicomimetic Swarm Design Considerations: Modularity, Scalability, Heterogeneity, and the Prediction Versus Control Dilemma
Chap. 17 - Using Swarm Engineering to Design Physicomimetic Swarms
Part V - Function Optimization
Chap. 18 - Artificial Physics Optimization Algorithm for Global Optimization
Chap. 19 - Artificial Physics for Noisy Nonstationary Environments
App. A - Anomalous Behavior of the Random Number Generator