Data for: A method for the assessment and compensation of positioning errors in industrial robots
Description
Here are shared the Matlab files related to the study presented in the paper: Title: "A method for the assessment and compensation of positioning errors in industrial robots" Authors: S. Ferrarini, P. Bilancia, R. Raffaeli, M. Peruzzini and M. Pellicciari ================================================================================================ ================================================================================================ ================================== Dataset for plotting ======================================== ================================================================================================ ================================================================================================ 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 3 main folders: 1) pose Figs. 11,12 ====> Subfolder contains exp data in .txt format, 6x5 tables Columns indicates points 1 to 5 Rows describe: - accuracy - no_useful_data (discarded) - repeatability - x error - y error - z error Fig. 13 ====> pose_path_comparison.fig inside "pose" folder 2) path Figs. 14,15,16 ====> Subfolders contain exp data .txt format, 494x6 tables Each file represents a different line. Each row represents a plane cutting the line. For a x-line columns describe: - x position (advancement) - y error - z error - repeatability - no_useful_data (discarded) - no_useful_data (discarded) 3) compensation Fig. 18 ====> Subfolders contain exp data .csv format Each row represents a step of the control cycle. For column description for useful columns is header inside each csv file. ================================================================================================ ================================================================================================ ================================================================================================ ================================================================================================
Files
Steps to reproduce
Follow the instructions in the readme file and within each script.