MANIPULATION
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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