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  • 标题:Improving the robustness of a service robot for continuous indoor monitoring: An incremental approach
  • 本地全文:下载
  • 作者:David Portugal ; André G Araújo ; Micael S Couceiro
  • 期刊名称:International Journal of Advanced Robotic Systems
  • 印刷版ISSN:1729-8806
  • 电子版ISSN:1729-8814
  • 出版年度:2021
  • 卷号:18
  • 期号:3
  • 页码:1
  • DOI:10.1177/17298814211012181
  • 出版社:SAGE Publications
  • 摘要:To move out of the lab, service robots must reveal a proven robustness so they can be deployed in operational environments. This means that they should function steadily for long periods of time in real-world areas under uncertainty, without any human intervention, and exhibiting a mature technology readiness level. In this work, we describe an incremental methodology for the implementation of an innovative service robot, entirely developed from the outset, to monitor large indoor areas shared by humans and other obstacles. Focusing especially on the reliability of the fundamental localization system of the robot in the long term, we discuss all the incremental software and hardware features, design choices, and adjustments conducted, and show their impact on the performance of the robot in the real world, in three distinct 24-h long trials, with the ultimate goal of validating the proposed mobile robot solution for indoor monitoring.
  • 关键词:Mobile robot design ; long-term robustness ; automatic monitoring ; robot localization
  • 其他关键词:Mobile robot design ; long-term robustness ; automatic monitoring ; robot localization
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