Litcius/Paper detail

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

Jinxin Liu, Guoqiang Hu

2023IEEE Robotics and Automation Letters21 citationsDOI

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.

Topics & Concepts

RobotSoftware deploymentWidebandComputer scienceUltra-widebandGNSS applicationsRange (aeronautics)Relative velocityReal-time computingSimulationArtificial intelligenceElectronic engineeringEngineeringTelecommunicationsGlobal Positioning SystemAerospace engineeringPhysicsQuantum mechanicsOperating systemIndoor and Outdoor Localization TechnologiesRobotics and Sensor-Based LocalizationUnderwater Vehicles and Communication Systems