Skip to Main Content (Press Enter)

Logo UNIMORE
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Attività
  • Competenze

UNI-FIND
Logo UNIMORE

|

UNI-FIND

unimore.it
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Attività
  • Competenze
  1. Pubblicazioni

A Comparison between Decentralized Local and Global Methods for Connectivity Maintenance of Multi-Robot Networks

Articolo
Data di Pubblicazione:
2019
Citazione:
A Comparison between Decentralized Local and Global Methods for Connectivity Maintenance of Multi-Robot Networks / Khateri, Koresh; Pourgholi, Mahdi; Montazeri, Mohsen; Sabattini, Lorenzo. - In: IEEE ROBOTICS AND AUTOMATION LETTERS. - ISSN 2377-3766. - 4:2(2019), pp. 633-640. [10.1109/LRA.2019.2892552]
Abstract:
Range limitation of communication links among robots in a multi-robot network, mixed with the mobility of the robots, creates a potential threat of disconnection of the communication network due to the robots movements. Recently, local methods have been proposed for maintaining the initial graph of connections, as well as global methods for maintaining a path between each pair of robots. This letter compares these methods in different aspects: the freedom of movement and the workspace provided by global methods is challenged by the amount of data needed to be exchanged with the local methods. Also, in the delayed networks, it is shown that local methods are leading to less restriction on the speed of the robots involved in the network. Simulation and numerical results are provided to further illustrate this comparison.
Tipologia CRIS:
Articolo su rivista
Keywords:
connectivity maintenance; delayed networks; distance dependent graph; Multi-robot system; Control and Systems Engineering; Human-Computer Interaction; Biomedical Engineering; Mechanical Engineering; Control and Optimization; Artificial Intelligence; Computer Science Applications1707 Computer Vision and Pattern Recognition; 1707
Elenco autori:
Khateri, Koresh; Pourgholi, Mahdi; Montazeri, Mohsen; Sabattini, Lorenzo
Autori di Ateneo:
SABATTINI Lorenzo
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1174964
Pubblicato in:
IEEE ROBOTICS AND AUTOMATION LETTERS
Journal
  • Dati Generali

Dati Generali

URL

http://ieeexplore.ieee.org/servlet/opac?punumber=7083369
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0