ICRA 2021poster11 citations

UWB Indoor Global Localisation for Nonholonomic Robots with Unknown Offset Compensation

Daniele Fontanelli, Farhad Shamsfakhr, Paolo Bevilacqua, Luigi Palopoli

Abstract

The problem addressed in this paper is the localisation of a mobile robot using a combination of on-board sensors and Ultra-Wideband (UWB) beacons. Specifically, we consider a scenario in which a mobile robot travels across an area infrastructured with a small number of UWB anchors. The presence of obstacles in the environment introduces an offset in the measurements of the distance between the robot and the UWB anchors causing a degradation in the localisation performance. By using a discrete–time formulation of the system dynamics, we show that, under mild condition, the trajectories can be observed and the offset can be estimated in a finite number of steps. Besides being interesting in its on right, the global observability results offer a clear pathway towards the definition of a new generation of estimation algorithms.

BibTeX
@inproceedings{icra2021_uwbindoorgloball,
  title = {UWB Indoor Global Localisation for Nonholonomic Robots with Unknown Offset Compensation},
  author = {Daniele Fontanelli and Farhad Shamsfakhr and Paolo Bevilacqua and Luigi Palopoli},
  booktitle = {ICRA 2021},
  year = {2021}
}
UWB Indoor Global Localisation for Nonholonomic Robots with Unknown Offset Compensation · ICRA 2021