RA-L 202319 citations

Relative Localization Estimation for Multiple Robots via the Rotating Ultra-Wideband Tag

Jinxin Liu, Guoqiang Hu

Abstract

Most distributed algorithms for robot coordination require relative location information, but how to obtain relative locations in a distributed manner is still a primary problem to address in multi-robot applications. In order to obtain the relative locations between robots, no matter whether they are in relative motion or stationary situation, we design a rotating ultra-wideband tag to provide the persistency of excitation condition and two estimation algorithms to estimate the relative locations in a distributed manner. Moreover, our approach relies only on on-board sensors and requires only one ultra-wideband tag per robot, eliminating the need for any ground anchors, thus allowing deployment in GNSS-denied environments without range restrictions. The proposed approach in this letter is also tested in simulations and experiments to verify the theoretical findings and effectiveness in practice.

BibTeX
@inproceedings{ral2023_relativelocaliza,
  title = {Relative Localization Estimation for Multiple Robots via the Rotating Ultra-Wideband Tag},
  author = {Jinxin Liu and Guoqiang Hu},
  booktitle = {RA-L 2023},
  year = {2023}
}
Relative Localization Estimation for Multiple Robots via the Rotating Ultra-Wideband Tag · RA-L 2023