- 112 pages
- English
- PDF
- Available on iOS & Android
About this book
In nature, it is possible to observe a cooperative behaviour in all animals, since, according to Charles Darwin's theory, every being, from ants to human beings, form groups in which most individuals work for the common good. However, although study of dozens of social species has been done for a century, details of how and why cooperation evolved remain to be worked out. Actually, cooperative behaviour has been studied from different points of view. Swarm robotics is a new approach that emerged on the field of artificial swarm intelligence, as well as the biological studies of insects (i.e. ants and other fields in nature) which coordinate their actions to accomplish tasks that are beyond the capabilities of a single individual. In particular, swarm robotics is focused on the coordination of decentralised, self-organised multi-robot systems in order to describe such a collective behaviour as a consequence of local interactions with one another and with their environment. This book has only provided a partial picture of the field of swarm robotics by focusing on practical applications. The global assessment of the contributions contained in this book is reasonably positive since they highlighted that it is necessary to adapt and remodel biological strategies to cope with the added complexity and problems that arise when robot individuals are considered.
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Table of contents
- Swarm Robotics from Biology to Robotics
- Preface
- Bio-inspired search strategies for robot swarms
- A New Hybrid Particle Swarm Optimization Algorithm to the Cyclic Multiple-Part Type Three-Machine Robotic Cell Problem
- Comparison of Swarm Optimization and Genetic Algorithm for Mobile Robot Navigation
- Key Aspects of PSO-Type Swarm Robotic Search: Signals Fusion and Path Planning
- Optimization Design Method of IIR Digital Filters for Robot Force Position Sensors
- Visual Analysis of Robot and Animal Colonies