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相关概念视频

Instrument Calibration01:12

Instrument Calibration

217
Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
217
Calibration Curves: Correlation Coefficient01:10

Calibration Curves: Correlation Coefficient

1.7K
In a linear calibration curve, there is a value called the calibration coefficient, denoted by 'r,' which measures the strength and the direction of association between two variables. The correlation coefficient value ranges from −1 to +1. A value of +1 indicates a perfect positive linear correlation, −1 denotes a perfect negative correlation, and 0 implies no correlation between the two variables. A positive correlation value establishes that as one variable increases, the...
1.7K
Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

1.4K
A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
1.4K
Glassware Calibration01:11

Glassware Calibration

266
Accurate calibration of glassware, such as volumetric flasks, pipettes, and burettes, is essential to ensure accurate measurements in the analytical laboratory. Calibration helps maintain consistency across measurements and prevents errors arising from inaccurate volumes.
Volumetric flasks: Volumetric flasks are designed to prepare aqueous solutions of precise volumes accurately with a calibration line on the neck. To calibrate a volumetric flask, it is important to fill it with distilled...
266
Uncertainty in Measurement: Reading Instruments02:46

Uncertainty in Measurement: Reading Instruments

38.3K
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...
38.3K
Measurement: Standard Units03:38

Measurement: Standard Units

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Every measurement provides three kinds of information: the size or magnitude of the measurement (a number), a standard of comparison for the measurement (a unit), and an indication of the uncertainty of the measurement. While the number and unit are explicitly represented when a quantity is written, the uncertainty is an aspect of the errors in the measurement results.
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Measurement of Spatial Stability in Precision Grip
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机器人测量系统的联合校准方法

Lei Wu1, Xizhe Zang1, Guanwen Ding1

  • 1State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin 150001, China.

Sensors (Basel, Switzerland)
|September 9, 2023
PubMed
概括
此摘要是机器生成的。

本研究引入了机器人测量系统的联合校准方法,显著提高了准确性. 这种新方法可以将定位错误减少90%以上,以精确测量工件.

关键词:
谎言代数的谎言代数双眼望远镜平面结构光摄像头联合校准方法 联合校准方法机器人测量系统 机器人测量系统

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相关实验视频

Last Updated: Jul 16, 2025

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An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 计量学 计量学 计量学
  • 计算机视觉 计算机视觉

背景情况:

  • 使用3D摄像头的机器人测量系统对于工件检查至关重要.
  • 由于机器人动力学,摄像头安装和3D摄像头错误,测量准确性受到损害.
  • 这些因素的校准不完整会导致严重的不准确性.

研究的目的:

  • 为机器人测量系统开发一个全面的联合校准方法.
  • 解决和整合来自机器人动力学,相机对机器人安装和3D相机测量的错误.
  • 为了提高机器人检查应用中的整体测量精度.

主要方法:

  • 使用李代数制定了机器人动力学和摄像机到机器人安装错误模型.
  • 为3D相机开发了一种新的枕头错误模型.
  • 使用同质转换构建了一个联合错误模型,并通过逐步优化解决.

主要成果:

  • 通过模拟和实验,显著提高了测量准确度.
  • 从超过2.5228毫米的平均定位误差减少到0.2629毫米.
  • 从超过0.1488毫米的平均距离误差降低到0.1232毫米.

结论:

  • 拟议的联合校准方法有效地提高了机器人测量系统的准确性.
  • 李代数和枕头错误模型的整合提供了一个强大的解决方案.
  • 这种方法为精确的工件形状和位置测量提供了显著的改进.