LEADER 04773nam 22011893a 450 001 9910674019203321 005 20250203235433.0 010 $a9783038979234 010 $a3038979236 024 8 $a10.3390/books978-3-03897-923-4 035 $a(CKB)4920000000095192 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/60367 035 $a(ScCtBLL)4b8697ee-2442-49fd-b375-599ebddf1d20 035 $a(OCoLC)1126098955 035 $a(oapen)doab60367 035 $a(EXLCZ)994920000000095192 100 $a20250203i20192019 uu 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aSwarm Robotics$fGiandomenico Spezzano 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2019 210 1$aBasel, Switzerland :$cMDPI,$d2019. 215 $a1 electronic resource (310 p.) 311 08$a9783038979227 311 08$a3038979228 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: Autonomy-Individuals that create the swarm robotic system are autonomous robots. They are independent and can interact with each other and the environment. Large number-They are in large number, enabling cooperation. Scalability and robustness-A new unit can be easily added to the system, so the system can be easily scaled. A greater number of units improves the performance of the system. The system is quite robust to the loss of some units, as some units still remain to perform, although the system will not perform to its maximum capabilities. Decentralized coordination-The robots communicate with each other and with their environment to make final decisions. Flexibility-The swarm robotic system has the ability to generate modularized solutions to different tasks. 606 $aComputer science$2bicssc 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 $amulti-agents 615 7$aComputer science 700 $aSpezzano$b Giandomenico$0117707 801 0$bScCtBLL 801 1$bScCtBLL 906 $aBOOK 912 $a9910674019203321 996 $aSwarm Robotics$93060077 997 $aUNINA