Outlier detection based on process fingerprints from robot cycle data

A system for outlier detection based on process fingerprints from robot cycle data, comprising:

• a data collection device, which is configured to collect cyclic data for process monitoring, wherein the cyclic data comprises multiple vectors each of which comprises data from one individual cycle of the robot cycle data of robots of a robot fleet;
• a data storage device, which is configured to store the collected cyclic data;
• and
• a data processing device comprising at least one processor, which is configured to perform cloud processing of the stored cyclic data triggered by a cycle-start signal,
• wherein the data processing device is configured to parse the stored cyclic data and to process the stored cyclic data based on a configuration file defining metadata of the stored cyclic data, wherein the data processing device is configured to extract process fingerprints that occur across the robots of the robot fleet and the robot cycles from the stored cyclic data using the metadata;
• wherein the data processing device is configured to provide predictive maintenance for a robot system comprising the robots of the robot fleet using the extracted process fingerprints of the stored cyclic data by discovering anomalies in the extracted process fingerprints of the stored cyclic data by discovering anomalies in the extracted process fingerprints of the robot system.