Swarm Robotics

Collectively 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 t...

Full description

Saved in:
Bibliographic Details
:
Year of Publication:2019
Language:English
Physical Description:1 electronic resource (310 p.)
Tags: Add Tag
No Tags, Be the first to tag this record!
LEADER 03539nam-a2201045z--4500
001 993543993204498
005 20230221130651.0
006 m o d
007 cr|mn|---annan
008 202102s2019 xx |||||o ||| eneng d
020 |a 3-03897-923-6 
035 |a (CKB)4920000000095192 
035 |a (oapen)https://directory.doabooks.org/handle/20.500.12854/60367 
035 |a (EXLCZ)994920000000095192 
041 0 |a eng 
100 1 |a Spezzano, Giandomenico  |4 auth 
245 1 0 |a Swarm Robotics 
260 |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2019 
300 |a 1 electronic resource (310 p.) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
520 |a Collectively 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: 
546 |a English 
653 |a n/a 
653 |a self-organization 
653 |a signal source localization 
653 |a multi-robot system 
653 |a sensor deployment 
653 |a parallel technique 
653 |a shape normalization 
653 |a genetic algorithm 
653 |a multiple robots 
653 |a optimization 
653 |a improved potential field 
653 |a optimal configuration 
653 |a autonomous docking 
653 |a asymmetrical interaction 
653 |a comparison 
653 |a behaviors 
653 |a patterns 
653 |a self-assembly robots 
653 |a congestion control 
653 |a surface-water environment 
653 |a target recognition 
653 |a coordinate motion 
653 |a UAV swarms 
653 |a formation reconfiguration 
653 |a swarm robotics 
653 |a swarm intelligence 
653 |a artificial bee colony algorithm 
653 |a obstacle avoidance 
653 |a fish swarm optimization 
653 |a search algorithm 
653 |a robotics 
653 |a time-difference-of-arrival (TDOA) 
653 |a formation 
653 |a mobile robots 
653 |a formation control 
653 |a meta-heuristic 
653 |a event-triggered communication 
653 |a search 
653 |a virtual structure 
653 |a 3D model identification 
653 |a surveillance 
653 |a event-driven coverage 
653 |a scale-invariant feature transform 
653 |a system stability 
653 |a Swarm intelligence algorithm 
653 |a bionic intelligent algorithm 
653 |a unmanned aerial vehicle 
653 |a underwater environment 
653 |a artificial flora (AF) algorithm 
653 |a swarm behavior 
653 |a weighted implicit shape representation 
653 |a Cramer–Rao low bound (CRLB) 
653 |a environmental perception 
653 |a particle swarm optimization 
653 |a modular robots 
653 |a cooperative target hunting 
653 |a virtual linkage 
653 |a multi-AUV 
653 |a consensus control 
653 |a panoramic view 
653 |a nonlinear disturbance observer 
653 |a sliding mode controller 
653 |a path optimization 
653 |a Swarm Chemistry 
653 |a multi-agents 
776 |z 3-03897-922-8 
906 |a BOOK 
ADM |b 2023-03-03 01:43:53 Europe/Vienna  |f system  |c marc21  |a 2019-11-10 04:18:40 Europe/Vienna  |g false 
AVE |P DOAB Directory of Open Access Books  |x https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5337470530004498&Force_direct=true  |Z 5337470530004498  |8 5337470530004498