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Dataset for: An experimental comparison of anomaly detection methods for collaborative robot manipulators

Søren Goddiksen Graabæk, Emil Vincent Ancker, Andreas Rune Fugl, Anders Lyhne Christensen

Year
2022
Citations
3

Abstract

The dataset contains data recordings from a UR5e robot during normal and anomalous operation and is recorded to support the authors Master thesis project and the associated Paper: <em>"An Experimental Comparison of Anomaly Detection Methods for Collaborative Robot Manipulators" </em>(inProceeding). An in-depth description of the dataset can be found in the pdf uploaded with the dataset and an example of a data loader is also provided.

Keywords

Anomaly detectionAnomaly (physics)RobotComputer scienceRobot manipulatorArtificial intelligencePhysics

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