Autonomous mobile robot behavioral analysis for deviation warnings

A non-transitory storage medium having stored therein instructions that are executable by one or more hardware processors to perform operations comprising:

• receiving real-time operational data related to an operation of one or more Autonomous Mobile Robots (AMRs) belonging to an AMR group, the real-time operational data defining a most recent operational point for each of the one or more AMRs in the AMR group;
• generating one or more clusters of expected behavior, for the one or more AMRs, that were generated by one or more machine-learning models using historical operational data related to the operation of the one or more AMRs, each cluster defining a possible behavioral scenario for each AMR of the one or more AMRs, each cluster including a cluster boundary that defines a limit of the expected behavior of each AMR of the one or more AMRs and a cluster centroid that defines an average of the expected behavior of each AMR of the one or more AMRs in the possible behavioral scenario;
• generating by the one or more machine-learning models one or more resultant vectors that extend from the cluster centroid to the most recent operational point of each AMR;
• generating one or more Resultant of Resultant Vectors (RoRs) from one or more resultant vectors;
• identifying one or more behavioral scenarios of the one or more AMRs using the one or more RoRs;
• and
• generating an alarm when it is determined that at least one of the one or more behavioral scenarios shows a deviation from the expected behavior to thereby warn a user of the deviation from the expected behavior,
• wherein the real-time operational data comprises sensor data and behavior data related to the one or more AMRs of the AMR group, and
• wherein the sensor data and the behavior data is concatenated to form concatenated data that is used in generating the one or more resultant vectors.