
The author presents a novel anomaly detection method using multisensory data and deep autoencoder models to detect object slip in mobile manipulation robots.


coremsg

multimodal-anomaly-detection-for-object-slip-perception-in-mobile-robots


Multimodal Anomaly Detection for Object Slip Perception in Mobile Robots


title_rewrite


Unified framework DMAD enhances anomaly detection in real-world scenarios.


dmad-dual-memory-bank-for-real-world-anomaly-detection


DMAD: Dual Memory Bank for Real-World Anomaly Detection



Proposing DMAD framework for real-world anomaly detection, combining unsupervised and semi-supervised scenarios.
