Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Uncertainty in Measurement: Reading Instruments02:46

Uncertainty in Measurement: Reading Instruments

49.8K
Counting is the type of measurement that is free from uncertainty, provided the number of objects being counted does not change during the process. Such measurements result in exact numbers. By counting the eggs in a carton, for instance, one can determine exactly how many eggs are there in the carton. Similarly, the numbers of defined quantities are also exact. For example, 1 foot is exactly 12 inches, 1 inch is exactly 2.54 centimeters, and 1 gram is exactly 0.001 kilograms. Quantities...
49.8K
Common Leveling Mistakes and Errors01:17

Common Leveling Mistakes and Errors

373
A survey team is tasked with determining the elevation difference between points Point A and Point B, separated by uneven terrain. They use a leveling instrument and a leveling rod.Common MistakesMisreading the Rod: During a backsight reading at Point A, the instrumentman observes the rod partially obscured by tall grass. Instead of reading 1.135 m, they mistakenly record 1.735 m due to the misalignment of the crosshair with the wrong graduation. This error adds 0.600 m to all subsequent...
373
Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

99.3K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
99.3K
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

1.2K
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
1.2K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Automated Assembly of Large-Scale Aerospace Components: A Structured Narrative Survey of Emerging Technologies.

Sensors (Basel, Switzerland)·2026
Same author

Convolutional neural network-based pose mapping estimation as an alternative to traditional hand-eye calibration.

The Review of scientific instruments·2023
Same author

Improving pose estimation accuracy for large hole shaft structure assembly based on super-resolution.

The Review of scientific instruments·2023
Same author

Generating optical superimposed vortex beam with tunable orbital angular momentum using integrated devices.

Scientific reports·2015
Same author

Anti-inflammation Effects of Oxysophoridine on Cerebral Ischemia-Reperfusion Injury in Mice.

Inflammation·2015
Same author

[Response of Maize to Lead Stress and Relevant Chemical Forms of Lead].

Huan jing ke xue= Huanjing kexue·2015

相关实验视频

Updated: Jan 9, 2026

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition
07:45

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

Published on: July 21, 2020

4.9K

单眼视觉测量系统不确定性分析和一步终端估计升级

Kuai Zhou1,2, Wenmin Chu1, Peng Zhao2

  • 1School of Aeronautical Engineering, Nanjing University of Industry Technology, Nanjing 210023, China.

Sensors (Basel, Switzerland)
|December 11, 2025
PubMed
概括

本研究介绍了自动化制造中的单眼视觉系统的不确定性分析,从而为机器人和手眼校准提供了一种全新的单步方法. 这种方法提高了视觉引导机器人组装的准确性.

关键词:
飞机组件组装机器人组装机器人的组装.单眼视力 单眼视力 单眼视力一个步骤的端到端.构成估计估计的估计.不确定性分析不确定性分析

更多相关视频

Quantification of Oculomotor Responses and Accommodation Through Instrumentation and Analysis Toolboxes
08:27

Quantification of Oculomotor Responses and Accommodation Through Instrumentation and Analysis Toolboxes

Published on: March 3, 2023

1.4K
Comparison of Three Clinical Stereoscopic Methods for Measuring Binocular Visual Function During Amblyopic Treatment in Unilateral Amblyopia
06:19

Comparison of Three Clinical Stereoscopic Methods for Measuring Binocular Visual Function During Amblyopic Treatment in Unilateral Amblyopia

Published on: September 27, 2024

494

相关实验视频

Last Updated: Jan 9, 2026

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition
07:45

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

Published on: July 21, 2020

4.9K
Quantification of Oculomotor Responses and Accommodation Through Instrumentation and Analysis Toolboxes
08:27

Quantification of Oculomotor Responses and Accommodation Through Instrumentation and Analysis Toolboxes

Published on: March 3, 2023

1.4K
Comparison of Three Clinical Stereoscopic Methods for Measuring Binocular Visual Function During Amblyopic Treatment in Unilateral Amblyopia
06:19

Comparison of Three Clinical Stereoscopic Methods for Measuring Binocular Visual Function During Amblyopic Treatment in Unilateral Amblyopia

Published on: September 27, 2024

494

科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 计算机视觉 计算机视觉
  • 制造业 工程 制造工程

背景情况:

  • 单眼视觉测量和视觉引导的机器人技术在自动化制造,特别是航空航天组装方面至关重要.
  • 从视觉测量,手眼校准和机器人校准中积累的多源错误会降低最终组装的准确性.

研究的目的:

  • 开发一种不确定性分析方法,用于组装姿势估计中的单眼视觉测量系统.
  • 通过不确定性分析,为机器人和手眼校准问题提供直接的,单步解决方案.
  • 为了构建一个高性能,端到端的姿势估计卷积神经网络 (OECNN).

主要方法:

  • 为单眼视觉测量系统开发了一种不确定性分析方法,详细说明不确定性传播路径和输入值.
  • 应用非线性映射估计,为机器人和手眼校准挑战提供直接,单步解决方案.
  • 构建并验证了一步端到端姿势估计卷积神经网络 (OECNN).

主要成果:

  • OECNN直接映射目标物体的位置变化到定位器驱动器体积变化.
  • 不确定性分析提供了提高组装姿势估计精度的关键见解.
  • 实验验证证了拟议的一步方法的高准确性和适用性.

结论:

  • 拟议的不确定性分析方法为复杂系统不确定性分析提供了有价值的参考.
  • 一个步骤的终端到步骤的姿势估计方法显著提高了自动装配任务的准确性.
  • 这种方法特别适用于高精度应用,例如使用视觉引导机器人的飞机组装.