Towards Robot Localization Using Bluetooth Low Energy Beacons RSSI Measures

Abstract

Abstract. This article presents a preliminary study in order to explore the possibilities for robot localization using measured received signal strength indicator (RSSI) from Bluetooth low energy (BLE) beacons. BLE is a new brand technology focused on information transmission using very low energy consumption. It is being included in mobile devices from year 2011, nowadays almost every new mobile phone is shipped with this technology. Robot localization using particles filter has been developed in recent years using wireless technologies with a significant success. BLE beacons measures are rather noisier than measures from similar wireless devices. In this work we make an initial model of BLE measures and their noise. The model is used to generate data to be processed by a particle filter designed for localization using only ultrawide band (UWB) beacons ranges. Data are generated with different noise level in order to explore localization errors behavior, these levels cover real noise levels founded in RSSI measure characterization.

Identification and distance estimation of users and objects by means of electronic beacons in social robotics

“…EBs have been extensively applied to many fields such as advertising (Deordica & Alexandru, 2014), electronic payment (Jeffus et al, 2015), or leisure activities (Rontidis et al, 2015;Smith, 2015). In robotics, EBs have been applied to robot localization (Navarro-Serment, 1999;Cuadra-Troncoso, 2015), or object localization (Schwarz et al, 2015). However, to the best of our knowledge, its application in social robotics has not been presented yet.…”