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

Leveraging Information Flow-Based Suzzy Cognitive Maps for Interpretable Fault Diagnosis in Industrial Robotics

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 NameRoleTypeDescriptionUnitsMissing Values
Current_J0FeatureContinuousyes
Temperature_T0FeatureContinuousyes
Current_J1FeatureContinuousyes
Temperature_J1FeatureContinuousyes
Current_J2FeatureContinuousyes
Temperature_J2FeatureContinuousyes
Current_J3FeatureContinuousyes
Temperature_J3FeatureContinuousyes
Current_J4FeatureContinuousyes
Temperature_J4FeatureContinuousyes

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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

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