Local Bearing Estimation for a Swarm of Low-Cost Miniature Robots.

miniature mobile robotics range and bearing sensory system swarm robotics

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
10 Jun 2020
Historique:
received: 26 03 2020
revised: 16 05 2020
accepted: 03 06 2020
entrez: 14 6 2020
pubmed: 14 6 2020
medline: 14 6 2020
Statut: epublish

Résumé

Swarm robotics focuses on decentralised control of large numbers of simple robots with limited capabilities. Decentralised control in a swarm system requires a reliable communication link between the individuals that is able to provide linear and angular distances between the individuals-

Identifiants

pubmed: 32532071
pii: s20113308
doi: 10.3390/s20113308
pmc: PMC7309109
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Engineering and Physical Sciences Research Council
ID : EP/R026084/1
Organisme : Engineering and Physical Sciences Research Council
ID : EP/P01366X/1

Références

Sensors (Basel). 2020 Feb 06;20(3):
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Auteurs

Zheyu Liu (Z)

Swarm & Computational Intelligence Laboratory (SwaCIL), Department of Electrical & Electronic Engineering, The University of Manchester, Manchester M13 9PL, UK.

Craig West (C)

Bristol Robotic Lab, University of West England, Bristol, Bristol BS16 1QY, UK.

Barry Lennox (B)

Robotics for Extreme Environment Laboratory (REEL), Department of Electrical & Electronic Engineering, The University of Manchester, Manchester M13 9PL, UK.

Farshad Arvin (F)

Swarm & Computational Intelligence Laboratory (SwaCIL), Department of Electrical & Electronic Engineering, The University of Manchester, Manchester M13 9PL, UK.
Robotics for Extreme Environment Laboratory (REEL), Department of Electrical & Electronic Engineering, The University of Manchester, Manchester M13 9PL, UK.

Classifications MeSH