LEADER 03582nam 2201057z- 450 001 9910674019203321 005 20231214133559.0 010 $a3-03897-923-6 035 $a(CKB)4920000000095192 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/60367 035 $a(EXLCZ)994920000000095192 100 $a20202102d2019 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSwarm Robotics 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2019 215 $a1 electronic resource (310 p.) 311 $a3-03897-922-8 330 $aCollectively 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: 610 $aself-organization 610 $asignal source localization 610 $amulti-robot system 610 $asensor deployment 610 $aparallel technique 610 $ashape normalization 610 $agenetic algorithm 610 $amultiple robots 610 $aoptimization 610 $aimproved potential field 610 $aoptimal configuration 610 $aautonomous docking 610 $aasymmetrical interaction 610 $acomparison 610 $abehaviors 610 $apatterns 610 $aself-assembly robots 610 $acongestion control 610 $asurface-water environment 610 $atarget recognition 610 $acoordinate motion 610 $aUAV swarms 610 $aformation reconfiguration 610 $aswarm robotics 610 $aswarm intelligence 610 $aartificial bee colony algorithm 610 $aobstacle avoidance 610 $afish swarm optimization 610 $asearch algorithm 610 $arobotics 610 $atime-difference-of-arrival (TDOA) 610 $aformation 610 $amobile robots 610 $aformation control 610 $ameta-heuristic 610 $aevent-triggered communication 610 $asearch 610 $avirtual structure 610 $a3D model identification 610 $asurveillance 610 $aevent-driven coverage 610 $ascale-invariant feature transform 610 $asystem stability 610 $aSwarm intelligence algorithm 610 $abionic intelligent algorithm 610 $aunmanned aerial vehicle 610 $aunderwater environment 610 $aartificial flora (AF) algorithm 610 $aswarm behavior 610 $aweighted implicit shape representation 610 $aCramer-Rao low bound (CRLB) 610 $aenvironmental perception 610 $aparticle swarm optimization 610 $amodular robots 610 $acooperative target hunting 610 $avirtual linkage 610 $amulti-AUV 610 $aconsensus control 610 $apanoramic view 610 $anonlinear disturbance observer 610 $asliding mode controller 610 $apath optimization 610 $aSwarm Chemistry 610 $amulti-agents 700 $aSpezzano$b Giandomenico$4auth$0117707 906 $aBOOK 912 $a9910674019203321 996 $aSwarm Robotics$93060077 997 $aUNINA