RA-L 202157 citations

Relative Position Estimation in Multi-Agent Systems Using Attitude-Coupled Range Measurements

Mohammed Shalaby, Charles Champagne Cossette, James Richard Forbes, Jerome Le Ny

Abstract

The ability to accurately estimate the position of robotic agents relative to one another, in possibly GPS-denied environments, is crucial to execute collaborative tasks. Inter-agent range measurements are available at a low cost, due to technologies such as ultra-wideband radio. However, the task of three-dimensional relative position estimation using range measurements in multi-agent systems suffers from unobservabilities. This letter presents a sufficient condition for the observability of the relative positions, and satisfies the condition using a simple framework with only range measurements, an accelerometer, a rate gyro, and a magnetometer. The framework has been tested in simulation and in experiments, where 40-50 cm positioning accuracy is achieved using inexpensive off-the-shelf hardware.

BibTeX
@inproceedings{ral2021_relativeposition,
  title = {Relative Position Estimation in Multi-Agent Systems Using Attitude-Coupled Range Measurements},
  author = {Mohammed Shalaby and Charles Champagne Cossette and James Richard Forbes and Jerome Le Ny},
  booktitle = {RA-L 2021},
  year = {2021}
}