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Distributed Multi-Robot Information Gathering under Spatio-Temporal Inter-Robot Constraints

Viseras, Alberto and Xu, Zhe and Merino, Luis (2020) Distributed Multi-Robot Information Gathering under Spatio-Temporal Inter-Robot Constraints. Sensors. Multidisciplinary Digital Publishing Institute (MDPI). ISSN 1424-8220

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Abstract

Information gathering (IG) algorithms aim to intelligently select the mobile robotic sensor actions required to efficiently obtain an accurate reconstruction of a physical process, such as an occupancy map, a wind field, or a magnetic field. Recently, multiple IG algorithms that benefit from multi-robot cooperation have been proposed in the literature. Most of these algorithms employ discretization of the state and action spaces, which makes them computationally intractable for robotic systems with complex dynamics. Moreover, they cannot deal with inter-robot restrictions such as collision avoidance or communication constraints. This paper presents a novel approach for multi-robot information gathering (MR-IG) that tackles the two aforementioned restrictions: (i) discretization of robot's state space, and (ii) dealing with inter-robot constraints. Here we propose an algorithm that employs: (i) an underlying model of the physical process of interest, (ii) sampling-based planners to plan paths in a continuous domain, and (iii) a distributed decision-making algorithm to enable multi-robot coordination. In particular, we use the max-sum algorithm for distributed decision-making by defining an information-theoretic utility function. This function maximizes IG, while fulfilling inter-robot communication and collision avoidance constraints. We validate our proposed approach in simulations, and in a field experiment where three quadcopters explore a simulated wind field. Results demonstrate the effectiveness and scalability with respect to the number of robots of our approach.

Item URL in elib:https://elib.dlr.de/133566/
Document Type:Article
Title:Distributed Multi-Robot Information Gathering under Spatio-Temporal Inter-Robot Constraints
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Viseras, AlbertoAlberto.ViserasRuiz (at) dlr.dehttps://orcid.org/0000-0001-5219-6533
Xu, Zhez.xu (at) acfr.usyd.edu.auUNSPECIFIED
Merino, Luislmercab (at) upo.esUNSPECIFIED
Date:January 2020
Journal or Publication Title:Sensors
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:1424-8220
Status:Published
Keywords:robotics; distributed multi-agent systems; information gathering; Gaussian processes
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Communication and Navigation
DLR - Research area:Raumfahrt
DLR - Program:R KN - Kommunikation und Navigation
DLR - Research theme (Project):R - Vorhaben GNSS2/Neue Dienste und Produkte
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Communications Systems
Deposited By: Viseras Ruiz, Alberto
Deposited On:15 Jan 2020 12:40
Last Modified:15 Jan 2020 12:40

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