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dc.contributor.editorMartinez Martin, Ester
dc.date.accessioned2021-04-20T14:55:41Z
dc.date.available2021-04-20T14:55:41Z
dc.date.issued2010
dc.identifierONIX_20210420_9789533070759_150
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/64794
dc.description.abstractIn 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.
dc.languageEnglish
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligenceen_US
dc.subject.otherArtificial intelligence
dc.titleSwarm Robotics
dc.title.alternativefrom Biology to Robotics
dc.typebook
oapen.identifier.doi10.5772/191
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9789533070759
oapen.relation.isbn9789535158806
oapen.imprintIntechOpen
oapen.pages112


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