对室内自主移动机器人传感技术的审查
Yu Liu1, Shuting Wang1, Yuanlong Xie1
1School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
Sensors (Basel, Switzerland)
|February 24, 2024
概括
本综述涵盖了室内自主移动机器人 (AMR) 的传感技术. 它分析了单传感器限制和多传感器融合,讨论了AMR导航和感知的未来趋势和挑战.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 传感器技术 传感器技术
- 人工智能的人工智能
背景情况:
- 室内自主移动机器人 (AMR) 在学术界和工业界至关重要.
- 有效的传感对于AMRs来说至关重要,以了解他们的环境和自我定位.
- 传感能够实现关键的AMR功能,如绘制地图,障碍物识别和导航.
研究的目的:
- 审查室内AMR的传感技术.
- 分析单一传感器的优缺点.
- 引入多传感器融合技术和未来的趋势.
主要方法:
- 审查关于室内AMR传感的现有文献.
- 对单个传感器性能和局限性的分析.
- 介绍传感器数据处理原理和算法.
- 多传感器聚变技术的概述.
主要成果:
- 单个传感器有局限性;多传感器融合提供了增强的功能.
- 各种传感器数据处理算法对于AMR感知至关重要.
- 当前的传感技术支持本地化,绘制地图和避开障碍.
- 未来的趋势集中在改进的传感器集成和稳定性上.
结论:
- 传感对于AMR的功能和性能至关重要.
- 多传感器融合是克服个人传感器局限性的关键.
- 需要继续进行研究,以应对现实世界室内AMR应用中的实际挑战.
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