首页|Recent Findings in Robotics Described by Researchers from Leibniz University Han nover (The Voraus-ad Dataset for Anomaly Detection In Robot Applications)
Recent Findings in Robotics Described by Researchers from Leibniz University Han nover (The Voraus-ad Dataset for Anomaly Detection In Robot Applications)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Robotics is now availab le. According to news reporting originating in Hannover, Germany, by NewsRx jour nalists, research stated, "During the operation of industrial robots, unusual ev ents may endanger the safety of humans and the quality of production. When colle cting data to detect such cases, it is not ensured that data from all potentiall y occurring errors is included as unforeseeable events may happen over time." Financial support for this research came from Federal Ministry of Education & Research (BMBF). The news reporters obtained a quote from the research from Leibniz University Ha nnover, "Therefore, anomaly detection (AD) delivers a practical solution, using only normal data to learn to detect unusual events. We introduce a dataset that allows training and benchmarking of anomaly detection methods for robotic applic ations based on machine data which will be made publicly available to the resear ch community. As a typical robot task the dataset includes a pick-and-place appl ication which involves movement, actions of the end effector, and interactions w ith the objects of the environment. Since several of the contained anomalies are not task-specific but general, evaluations on our dataset are transferable to o ther robotics applications as well. In addition, we present multivariate time-se ries flow (MVT-Flow) as a new baseline method for anomaly detection: It relies o n deep-learning-based density estimation with normalizing flows, tailored to the data domain by taking its structure into account for the architecture."
HannoverGermanyEuropeEmerging Tech nologiesMachine LearningRobotRoboticsLeibniz University Hannover
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