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arXiv 2309.05583cs.RO

通过使用寻墙软件实现Roombas去中心化定位的本科生研究

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

Clemson University(克莱姆森大学)

Madeline Corvin, Johnathan McDowell, Timothy Anglea, Yongqiang Wang

AI总结:

本科生团队开发并测试了沿墙软件,使Roombas机器人能在限定空间内独立定位并共享位置信息,从而实现多机器人协作。

摘要:

本文介绍了一个本科生研究团队在实现机器人定位方面的研究工作。具体而言,该团队开发并测试了沿墙软件,使地面机器人Roombas能够在限定空间内独立找到自身位置。该软件还允许机器人将其定位位置发送给其他Roombas,从而使每个Roomba知道其相对位置以实现机器人协作。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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