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
Main Author: Spezzano, Giandomenico (auth)
Format: Electronic Book Chapter
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2019
Subjects:
Online Access:DOAB: download the publication
DOAB: description of the publication
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000naaaa2200000uu 4500
001 doab_20_500_12854_60367
005 20210212
003 oapen
006 m o d
007 cr|mn|---annan
008 20210212s2019 xx |||||o ||| 0|eng d
020 |a books978-3-03897-923-4 
020 |a 9783038979234 
020 |a 9783038979227 
040 |a oapen  |c oapen 
024 7 |a 10.3390/books978-3-03897-923-4  |c doi 
041 0 |a eng 
042 |a dc 
072 7 |a UY  |2 bicssc 
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 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
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: 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by-nc-nd/4.0/  |2 cc  |4 https://creativecommons.org/licenses/by-nc-nd/4.0/ 
546 |a English 
650 7 |a Computer science  |2 bicssc 
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 
856 4 0 |a www.oapen.org  |u https://mdpi.com/books/pdfview/book/1294  |7 0  |z DOAB: download the publication 
856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/60367  |7 0  |z DOAB: description of the publication