UR3 CobotOps
Donated on 2/28/2024
The UR3 CobotOps Dataset is an essential collection of multi-dimensional time-series data from the UR3 cobot, offering insights into operational parameters and faults for machine learning in robotics and automation. It features electrical currents, temperatures, speeds across joints (J0-J5), gripper current, operation cycle count, protective stops, and grip losses, collected via MODBUS and RTDE protocols. This dataset supports research in fault detection, predictive maintenance, and operational optimization, providing a detailed operational snapshot of a leading cobot model for industrial applications
Dataset Characteristics
Multivariate, Time-Series
Subject Area
Engineering
Associated Tasks
Classification, Regression, Clustering, Other
Feature Type
Real, Categorical, Integer
# Instances
7409
# Features
20
Dataset Information
Has Missing Values?
Yes
Introductory Paper
By Marios Tyrovolas, Khurshid Aliev, Dario Antonelli, Chrysostomos Stylios. 2024
Published in 15th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| Current_J0 | Feature | Continuous | yes | ||
| Temperature_T0 | Feature | Continuous | yes | ||
| Current_J1 | Feature | Continuous | yes | ||
| Temperature_J1 | Feature | Continuous | yes | ||
| Current_J2 | Feature | Continuous | yes | ||
| Temperature_J2 | Feature | Continuous | yes | ||
| Current_J3 | Feature | Continuous | yes | ||
| Temperature_J3 | Feature | Continuous | yes | ||
| Current_J4 | Feature | Continuous | yes | ||
| Temperature_J4 | Feature | Continuous | yes |
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset ur3_cobotops = fetch_ucirepo(id=963) # data (as pandas dataframes) X = ur3_cobotops.data.features y = ur3_cobotops.data.targets # metadata print(ur3_cobotops.metadata) # variable information print(ur3_cobotops.variables)
Tyrovolas,Marios, Aliev,Khurshid, Antonelli,Dario, and Stylios,Chrysostomos. (2024). UR3 CobotOps. UCI Machine Learning Repository. https://doi.org/10.24432/C5J891.
@misc{misc_ur3_cobotops_963,
author = {Tyrovolas,Marios, Aliev,Khurshid, Antonelli,Dario, and Stylios,Chrysostomos},
title = {{UR3 CobotOps}},
year = {2024},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5J891}
}Creators
Marios Tyrovolas
tirovolas@kic.uoi.gr
Department of Informatics and Telecommunications, University of Ioannina
Khurshid Aliev
khurshid@polito.it
Department of Management and Production Engineering, Politecnico di Torino, Turin
Dario Antonelli
dario.antonelli@polito.it
Department of Management and Production Engineering, Politecnico di Torino, Turin
Chrysostomos Stylios
stylios@isi.gr
Industrial Systems Institute (ISI), Athena RC, Patras
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.