Signal-Based Self-Organization of a Chain of UAVs for Subterranean Exploration.

RSSI (received signal strength indication) UAV (drone) radio signal subterranean underground

Journal

Frontiers in robotics and AI
ISSN: 2296-9144
Titre abrégé: Front Robot AI
Pays: Switzerland
ID NLM: 101749350

Informations de publication

Date de publication:
2021
Historique:
received: 05 10 2020
accepted: 08 02 2021
entrez: 10 5 2021
pubmed: 11 5 2021
medline: 11 5 2021
Statut: epublish

Résumé

Miniature multi-rotors are promising robots for navigating subterranean networks, but maintaining a radio connection underground is challenging. In this paper, we introduce a distributed algorithm, called U-Chain (for Underground-chain), that coordinates a chain of flying robots between an exploration drone and an operator. Our algorithm only uses the measurement of the signal quality between two successive robots and an estimate of the ground speed based on an optic flow sensor. It leverages a distributed policy for each UAV and a Kalman filter to get reliable estimates of the signal quality. We evaluate our approach formally and in simulation, and we describe experimental results with a chain of 3 real miniature quadrotors (12 by 12 cm) and a base station.

Identifiants

pubmed: 33969000
doi: 10.3389/frobt.2021.614206
pii: 614206
pmc: PMC8103032
doi:

Types de publication

Journal Article

Langues

eng

Pagination

614206

Informations de copyright

Copyright © 2021 Laclau, Tempez, Ruffier, Natalizio and Mouret.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

Sci Robot. 2019 Oct 23;4(35):
pubmed: 33137730

Auteurs

Pierre Laclau (P)

Inria, CNRS, Université de Lorraine, LORIA, Nancy, France.
Université de Technologie de Compiègne (UTC), Compiègne, France.

Vladislav Tempez (V)

Inria, CNRS, Université de Lorraine, LORIA, Nancy, France.

Franck Ruffier (F)

Aix Marseille Université, CNRS, ISM, Marseille, France.

Enrico Natalizio (E)

Université de Lorraine, CNRS, LORIA, Nancy, France.
Autonomous Robotics Research Centre, Technology Innovation Institute, Abu Dhabi, United Arab Emirates.

Jean-Baptiste Mouret (JB)

Inria, CNRS, Université de Lorraine, LORIA, Nancy, France.

Classifications MeSH