Data for: Assessing path accuracy in industrial robots via ballbar technology

Here are shared the Matlab files related to the study presented in the paper:

Title: "Assessing path accuracy in industrial robots via ballbar technology"
Authors: Pietro Bilancia, Sergio Ferrarini, Riccardo Berni, Marcello Pellicciari

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================================== Dataset for plotting ========================================
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The current dataset is an enlarged version of the one plotted and discussed in the paper,
with more conditions and results available to plot. It is organzized in 4 main folders:

1) DOE1

Contains experimental data and processing files related to first design of experiments.

2) DOE2

Contains experimental data and processing files related to second design of experiments.

3) Functions

Functions used to process and elaborate the experimental data.

4) Plotters

MATLAB scripts that generate the figures shown in the paper.

Each script includes a section with parametric configuration that allows users to easily vary the
experimental conditions to plot. This flexibility enables users to span through various experimental
conditions and rapidly visualize the related results.

% Example of parametrization
r_n = 300; % Nominal radius of the experiment [mm]
speed = 25; % Speed of the experiment [mm/s]
plane = "xy"; % Cartesian plane
position = "front_dx"; % Position in the workspace
half = 1; % Rotation verse CCW (1) or CW (2)

The following figures from the paper can be produced using the provided scripts:

Figure 9
Figure 10
Figure 11
Figure 12 and 18
Figure 13
Figure 14
Figure 15
Figure 16

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以下为与论文中所述研究相关的 Matlab 文件集：

标题："通过球杆技术评估工业机器人的路径精度"
作者：Pietro Bilancia，Sergio Ferrarini，Riccardo Berni，Marcello Pellicciari

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================================== 绘图数据集 =========================================
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本数据集是对论文中绘制和讨论的数据集的扩充版本，提供了更多实验条件和结果供绘图之用。数据集组织结构如下四大主要文件夹：

1) DOE1

包含与第一次实验设计相关的实验数据和加工文件。

2) DOE2

包含与第二次实验设计相关的实验数据和加工文件。

3) Functions

包含用于处理和加工实验数据的函数。

4) Plotters

生成论文中所示图表的 MATLAB 脚本。

每个脚本均包含一个参数配置部分，允许用户轻松更改实验条件进行绘图。这种灵活性使用户能够遍历各种实验条件，并快速可视化相关结果。

% 参数化示例
r_n = 300; % 实验的名义半径 [mm]
speed = 25; % 实验速度 [mm/s]
plane = "xy"; % 柯氏平面
position = "front_dx"; % 工作空间中的位置
half = 1; % 顺时针旋转 (1) 或逆时针旋转 (2)

以下论文中的图表可使用提供的脚本生成：

图 9
图 10
图 11
图 12 和 18
图 13
图 14
图 15
图 16

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