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Proactive Anomaly Detection in Robotics by Nana Togola is a document available to read on EtoBox.
What is Proactive Anomaly Detection in Robotics about?
The document presents a Proactive Anomaly Detection network (PAAD) designed to enhance robot navigation by predicting potential failures before they occur, utilizing multi-sensor fusion from cameras and LiDAR. Unlike traditional reactive methods, PAAD identifies anomalous behaviors in real-time, allowing robots to execute recovery maneuvers and avoid damage in unstructured environments. Experimental results indicate that PAAD outperforms existing methods in failure identification while maintaining a low fal
- Author
- Nana Togola
- Language
- EN