Indoor localization of mobile robots with wireless sensor network based on ultra wideband using experimental measurements of time difference of arrival

This paper presents investigations into wireless localization techniques for mobile robots operat-ing in indoor environments. Localization systems can guide robots to perform different tasks such as monitoring children or elderly people, aid mobility of the visually impaired and localize mobile obje...

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Detalles Bibliográficos
Autores: Oumar, Ousmane Abdoulaye, Sattar, Tariq P., Tokhi, Mohammad Osman
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:Panamá
Institución:Universidad Tecnológica de Panamá
Repositorio:Repositorio Institucional de documento digitales de acceso abierto de la UTP
Idioma:español
OAI Identifier:oai:ridda2.utp.ac.pa:123456789/5737
Acceso en línea:http://revistas.utp.ac.pa/index.php/memoutp/article/view/2016
http://ridda2.utp.ac.pa/handle/123456789/5737
Access Level:acceso abierto
Palabra clave:mobile robots; wireless sensor
Descripción
Sumario:This paper presents investigations into wireless localization techniques for mobile robots operat-ing in indoor environments. Localization systems can guide robots to perform different tasks such as monitoring children or elderly people, aid mobility of the visually impaired and localize mobile objects or packages in warehouses. They are essential for localization of robots operating in re-mote places that are inaccessible or hazardous to humans. Currently, ultra wide band (UWB) in indoor environments provides an accuracy of 24 mm under line of sight (LOS) or non-line of sight (NLOS) conditions in a working range of 160 m indoors. The work presented in this paper carries out experimental validation of localization algorithms using mobile robots and UWB signals. These are measured in LOS and NLOS environments. The measurements are performed with the UWB radio PulsON 410 (P410) and mobile robots (AmigoBot) with maximum travel-ling speed of 1 m/s and equipped with an on-board computer, sonar, odometer, camera and inertial navigation system. Experimental results obtained for the system show positioning errors of less than 55 mm.