Average Reviews:
(More customer reviews)You might perhaps regard this as another in Springer's extensive list of texts on robotics. Some of the book describes the biological underpinnings; the swarms that exist in nature. But the bulk relates to various implementations in robotics.
There is modelling and analysis of different swarm robotic systems. Where there is often custom hardware.
In a different light, one chapter looks at not robots, but purely computers; ie. the computers are without custom mechanical fittings that are typical of robots. Instead, routing protocols are conjectured, inspired by group behaviours found in some social insect societies like ants and bees. This is perhaps [at least to me] the most imaginative of the chapters. Those authors really did a marked conceptual shift from one context to another. Good for them!
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Product Description:
The laws that govern the collective behavior of social insects, flocks of birds, or fish schools continue to mesmerize researchers. While individuals are rather unsophisticated, in cooperation they can solve complex tasks, a prime example being the ability of ant colonies to find shortest paths between their nests and food sources. Task-solving results from self-organization, which often evolves from simple means of communication, either directly or indirectly via changing the environment, the latter referred to as stigmergy. Scientists have applied these principles in new approaches, for example to optimization and the control of robots. Characteristics of the resulting systems include robustness and flexibility. This field of research is now referred to as swarm intelligence.The contributing authors are among the top researchers in their domain. The book is intended to provide an overview of swarm intelligence to novices, and to offer researchers in the field an update on interesting recent developments. Introductory chapters deal with the biological foundations, optimization, swarm robotics, and applications in new-generation telecommunication networks, while the second part contains chapters on more specific topics of swarm intelligence research such as the evolution of robot behavior, the use of particle swarms for dynamic optimization, and organic computing.
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