Undergraduate Research of Decentralized Localization of Roombas Through Usage of Wall-Finding Software

Corvin, Madeline, McDowell, Johnathan, Anglea, Timothy, Wang, Yongqiang

arXiv.org Artificial Intelligence 

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.

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