AI RESEARCH
Multimodal Anomaly Detection for Human-Robot Interaction
arXiv CS.CV
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ArXi:2604.09326v1 Announce Type: cross Ensuring safety and reliability in human-robot interaction (HRI) requires the timely detection of unexpected events that could lead to system failures or unsafe behaviours. Anomaly detection thus plays a critical role in enabling robots to recognize and respond to deviations from normal operation during collaborative tasks. While reconstruction models have been actively explored in HRI, approaches that operate directly on feature vectors remain largely unexplored.