Home /Research /Self-Calibrating Ultra-Wideband Network Supporting Multi-Robot Localization
SWARM

Self-Calibrating Ultra-Wideband Network Supporting Multi-Robot Localization

Michael Hamer, Raffaello D’Andrea

Year
2018
Citations
109

Abstract

In this paper, we concern ourselves with the development of a localization system that permits multiple robots to localize themselves simultaneously within a given area, which has been outfitted with a network of stationary radio modules. We derive a clock synchronization scheme for the radio modules, show how each module is able to compute its position within the network, and finally demonstrate how multiple robots are able to operate simultaneously within the space by using time-difference-of-arrival measurements to localize themselves. Since robots are passive receivers in this system and are able to compute their position based only on received and local information, multiple robots can operate simultaneously and without the need for central coordination or centralized localization infrastructure. All results presented in this paper are supported by experimental results, and the functionality of the system is demonstrated by multiple microquadrocopters localizing and flying simultaneously within a space.

Keywords

RobotComputer scienceSynchronization (alternating current)Position (finance)Mobile robotRobot kinematicsReal-time computingScheme (mathematics)Clock synchronizationArtificial intelligence

Related papers

Browse all SWARM papers