This paper introduces the research effort of an undergraduate research team in realizing robot localization. More specifically, the undergraduate research team developed and tested wall-following software that allowed a ground robot Roombas to independently find their positions within a defined space. The software also allows a robot to send its localized position to other Roombas, so that each Roomba knows its relative location to realize robot cooperation.
@article{arxiv.2309.05583,
title = {Undergraduate Research of Decentralized Localization of Roombas Through Usage of Wall-Finding Software},
author = {Madeline Corvin and Johnathan McDowell and Timothy Anglea and Yongqiang Wang},
journal= {arXiv preprint arXiv:2309.05583},
year = {2023}
}