Path Planning of a Mobile Delivery Robot Operating in a Multi-Story Building Based on a Predefined Navigation Tree.

Dijkstra’s algorithm mobile robot multi-story building package delivery path planning

Journal

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

Informations de publication

Date de publication:
28 Oct 2023
Historique:
received: 04 10 2023
revised: 21 10 2023
accepted: 25 10 2023
medline: 14 11 2023
pubmed: 14 11 2023
entrez: 14 11 2023
Statut: epublish

Résumé

Planning the path of a mobile robot that must transport and deliver small packages inside a multi-story building is a problem that requires a combination of spatial and operational information, such as the location of origin and destination points and how to interact with elevators. This paper presents a solution to this problem, which has been formulated under the following assumptions: (1) the map of the building's floors is available; (2) the position of all origin and destination points is known; (3) the mobile robot has sensors to self-localize on the floors; (4) the building is equipped with remotely controlled elevators; and (5) all doors expected in a delivery route will be open. We start by defining a static navigation tree describing the weighted paths in a multi-story building. We then proceed to describe how this navigation tree can be used to plan the route of a mobile robot and estimate the total length of any delivery route using Dijkstra's algorithm. Finally, we show simulated routing results that demonstrate the effectiveness of this proposal when applied to an autonomous delivery robot operating in a multi-story building.

Identifiants

pubmed: 37960494
pii: s23218795
doi: 10.3390/s23218795
pmc: PMC10648392
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Departament de Recerca i Universitats de la Generalitat de Catalunya
ID : AGAUR FI SDUR 2022
Organisme : Departament de Recerca i Universitats de la Generalitat de Catalunya
ID : AGAUR FI Joan Oró 2023

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Auteurs

Jordi Palacín (J)

Robotics Laboratory, Universitat de Lleida, Jaume II, 69, 25001 Lleida, Spain.

Elena Rubies (E)

Robotics Laboratory, Universitat de Lleida, Jaume II, 69, 25001 Lleida, Spain.

Ricard Bitriá (R)

Robotics Laboratory, Universitat de Lleida, Jaume II, 69, 25001 Lleida, Spain.

Eduard Clotet (E)

Robotics Laboratory, Universitat de Lleida, Jaume II, 69, 25001 Lleida, Spain.

Classifications MeSH