Inducing Rules about Distributed Robotic Systems for Fault Detection & Diagnosis

This paper presents an extended abstract for the PhD topic Inducing Rules about Distributed Robotic Systems for Fault Detection & Diagnosis. The research focuses on developing novel methods for fault detection and diagnosis using explainable machine learning. The main field of application is distributed robotic systems. With current developments in distributed robot technology, the problem of detecting and diagnosing faults becomes more complex.