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dc.contributor.authorSpezzano, Giandomenico*
dc.date.accessioned2021-02-12T05:03:31Z
dc.date.available2021-02-12T05:03:31Z
dc.date.issued2019*
dc.date.submitted2019-06-26 08:44:06*
dc.identifier33641*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/60367
dc.description.abstractCollectively working robot teams can solve a problem more efficiently than a single robot, while also providing robustness and flexibility to the group. Swarm robotics model is a key component of a cooperative algorithm that controls the behaviors and interactions of all individuals. The robots in the swarm should have some basic functions, such as sensing, communicating, and monitoring, and satisfy the following properties:*
dc.languageEnglish*
dc.subjectQA75.5-76.95*
dc.subjectT58.5-58.64*
dc.subject.othern/a*
dc.subject.otherself-organization*
dc.subject.othersignal source localization*
dc.subject.othermulti-robot system*
dc.subject.othersensor deployment*
dc.subject.otherparallel technique*
dc.subject.othershape normalization*
dc.subject.othergenetic algorithm*
dc.subject.othermultiple robots*
dc.subject.otheroptimization*
dc.subject.otherimproved potential field*
dc.subject.otheroptimal configuration*
dc.subject.otherautonomous docking*
dc.subject.otherasymmetrical interaction*
dc.subject.othercomparison*
dc.subject.otherbehaviors*
dc.subject.otherpatterns*
dc.subject.otherself-assembly robots*
dc.subject.othercongestion control*
dc.subject.othersurface-water environment*
dc.subject.othertarget recognition*
dc.subject.othercoordinate motion*
dc.subject.otherUAV swarms*
dc.subject.otherformation reconfiguration*
dc.subject.otherswarm robotics*
dc.subject.otherswarm intelligence*
dc.subject.otherartificial bee colony algorithm*
dc.subject.otherobstacle avoidance*
dc.subject.otherfish swarm optimization*
dc.subject.othersearch algorithm*
dc.subject.otherrobotics*
dc.subject.othertime-difference-of-arrival (TDOA)*
dc.subject.otherformation*
dc.subject.othermobile robots*
dc.subject.otherformation control*
dc.subject.othermeta-heuristic*
dc.subject.otherevent-triggered communication*
dc.subject.othersearch*
dc.subject.othervirtual structure*
dc.subject.other3D model identification*
dc.subject.othersurveillance*
dc.subject.otherevent-driven coverage*
dc.subject.otherscale-invariant feature transform*
dc.subject.othersystem stability*
dc.subject.otherSwarm intelligence algorithm*
dc.subject.otherbionic intelligent algorithm*
dc.subject.otherunmanned aerial vehicle*
dc.subject.otherunderwater environment*
dc.subject.otherartificial flora (AF) algorithm*
dc.subject.otherswarm behavior*
dc.subject.otherweighted implicit shape representation*
dc.subject.otherCramer–Rao low bound (CRLB)*
dc.subject.otherenvironmental perception*
dc.subject.otherparticle swarm optimization*
dc.subject.othermodular robots*
dc.subject.othercooperative target hunting*
dc.subject.othervirtual linkage*
dc.subject.othermulti-AUV*
dc.subject.otherconsensus control*
dc.subject.otherpanoramic view*
dc.subject.othernonlinear disturbance observer*
dc.subject.othersliding mode controller*
dc.subject.otherpath optimization*
dc.subject.otherSwarm Chemistry*
dc.subject.othermulti-agents*
dc.titleSwarm Robotics*
dc.typebook
oapen.identifier.doi10.3390/books978-3-03897-923-4*
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0*
oapen.relation.isbn9783038979234*
oapen.relation.isbn9783038979227*
oapen.pages310*
oapen.edition1st*


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Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/