Continuous Online Fault Detection for Mobile Robots via Adaptive Edge Models
Results validate the deployment of state-of-the-art anomaly detection on resource-constrained robotics through offline-to-online distillation through a Teacher-Student distillation framework.
Jordan Levy, Nicolas Verstaevel, Vincent Talon et al.
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