Relative localization is a key capability for autonomous robot swarms, and it is a substan- tial challenge, especially for small flying robots, as they are extremely restricted in terms of sensors and processing while other robots may be located anywhere around them in three- dimensional space. In this article, we generalize wireless ranging-based relative localiza- tion to three dimensions. In particular, we show that robots can localize others in three dimensions by ranging to each other and only exchanging body velocities and yaw rates. We perform a nonlinear observability analysis, investigating the observability of relative locations for different cases. Furthermore, we show both in simulation and with real-world experiments that the proposed method can be used for successfully achieving various swarm behaviours. In order to demonstrate the method’s generality, we demonstrate it both on tiny quadrotors and lightweight flapping wing robots.

Three-dimensional relative localization and synchronized movement with wireless ranging / Pfeiffer, Sven; Munaro, Veronica; Li, Shushuai; Rizzo, Alessandro; de Croon, Guido C. H. E.. - In: SWARM INTELLIGENCE. - ISSN 1935-3812. - ELETTRONICO. - (2022). [10.1007/s11721-022-00221-0]

Three-dimensional relative localization and synchronized movement with wireless ranging

Veronica Munaro;Alessandro Rizzo;
2022

Abstract

Relative localization is a key capability for autonomous robot swarms, and it is a substan- tial challenge, especially for small flying robots, as they are extremely restricted in terms of sensors and processing while other robots may be located anywhere around them in three- dimensional space. In this article, we generalize wireless ranging-based relative localiza- tion to three dimensions. In particular, we show that robots can localize others in three dimensions by ranging to each other and only exchanging body velocities and yaw rates. We perform a nonlinear observability analysis, investigating the observability of relative locations for different cases. Furthermore, we show both in simulation and with real-world experiments that the proposed method can be used for successfully achieving various swarm behaviours. In order to demonstrate the method’s generality, we demonstrate it both on tiny quadrotors and lightweight flapping wing robots.
File in questo prodotto:
File Dimensione Formato  
2022_3DLocalization_Pfeiffer.pdf

non disponibili

Descrizione: Version of Record
Tipologia: 2a Post-print versione editoriale / Version of Record
Licenza: Non Pubblico - Accesso privato/ristretto
Dimensione 6.22 MB
Formato Adobe PDF
6.22 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
2022_SwarmIntelligence_AuthorPostPrint.pdf

Open Access dal 03/12/2023

Descrizione: Author PostPrint
Tipologia: 2. Post-print / Author's Accepted Manuscript
Licenza: PUBBLICO - Tutti i diritti riservati
Dimensione 5.13 MB
Formato Adobe PDF
5.13 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2973659