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相关概念视频

Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

844
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
844

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自主机器人任务中的异常检测方法

Shivoh Chirayil Nandakumar1, Daniel Mitchell2, Mustafa Suphi Erden1

  • 1School of Engineering and Physical Sciences, Heriot Watt University, Edinburgh EH14 4AS, UK.

Sensors (Basel, Switzerland)
|February 24, 2024
PubMed
概括

本综述综合了自主机器人任务 (ARM) 的异常检测,提出了统一的理解和分类. 这项工作旨在推进强大可靠的自主机器人系统.

科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 人工智能的人工智能
  • 计算机科学 计算机科学

背景情况:

  • 越来越多的人使用自主机器人,需要提高其强度和可靠性.
  • 自2015年以来,关于机器人系统中异常检测的研究显著增加.
  • 现有的文献呈现了对异常及其与故障检测的区别的多样化观点.

研究的目的:

  • 审查和综合有关自主机器人任务 (ARM) 异常检测的文献.
  • 建立对ARM内部异常的统一理解.
  • 根据基本特征提出一种新的异常分类.

主要方法:

  • 关于ARM中异常检测的综合文献综述.
  • 对不同异常定义及其与故障检测相关性的比较分析.
  • 制定统一的异常定义和分类框架 (空间,时间,时空).

主要成果:

  • 确定了关于ARM异常的不同观点,突出了需要达成共识的必要性.
  • 提出了对异常的统一理解,包括它们的各种特征.
  • 引入了异常的空间,时间和时空类别的分类.

结论:

关键词:
这是一个异常异常.自主任务自主任务自主机器人 自主机器人

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  • 拟议的统一理解和分类为ARM中异常检测提供了基础.
  • 对特定术语和异常检测方法的进一步研究至关重要.
  • 这项工作旨在加速ARM的通用异常检测系统的开发.