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Dec 15, 2023 · We propose using audio-based systems to diagnose and detect anomalies in these robots. Audio-based systems are non-destructive/intrusive solutions.
Dec 15, 2023 · We propose using audio-based systems to diagnose and detect anomalies in these robots. Audio-based systems are non-destructive/intrusive solutions.
So, in this work, we installed two microphones in an agricultural robot with a mowing tool. Real audio data was collected with the robotic mowing tool operating ...
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Baltazar, A.: Dataset for Sound-based Anomalies Detection in Agricultural Robotics Application (Oct2022) https://doi.org/10.5281/zenodo.7194547, https://doi.org ...
Model Predictive Control (MPC) is a control strategy that uses a system model to predict future behaviour and determine the optimal control inputs. Anomalies ...
Oct 8, 2024 · This article proposes a time series anomaly recognition model based on multimodal fusion, which compensates for the insufficiency of ...
This study proposes a UAV swarm anomaly detection model based on a multi-modal denoising autoencoder and federated learning (L-MDAE).
In this paper, we propose Echo-Guard, an acoustic-based anomaly detection system to protect smart manufacturing environments. The Echo-Guard records acoustic ...
In this paper, we propose Echo-Guard, an acoustic-based anomaly detection system to protect smart manufacturing environments.
May 10, 2022 · Autoencoders are commonly used in solving anomaly detection tasks and have applications in data compression and feature learning. An autoencoder ...
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