Systems and Methods for Facilitating Communication of Semantic Data Between a Fleet of Agents

A system for operating a fleet of agents within an industrial facility based at least on a plurality of semantic data generated from input data collected during operation of the fleet of agents comprising one or more autonomous mobile robots, the system comprising:

• a communication network;
• and
• the fleet of agents comprising the one or more autonomous mobile robots, the fleet of agents operable to communicate with each other via the communication network, each agent of the fleet having a processor, wherein the processors are collectively operable to:
• receive, at a first agent of the fleet, an input dataset comprising sensor data collected with one or more sensors in communication with the first agent;
• evaluate the input dataset to identify one or more critical features, the one or more critical features comprising one or more features being prioritized according to a context of the input dataset;
• identify, based at least on a data type of the one or more critical features and the context of the input dataset, an initial artificial intelligence (AI) data model suitable for interpreting the one or more critical features;
• apply the initial artificial intelligence data model to at least a subset of the input dataset to generate a semantic dataset from the one or more critical features for the fleet of agents, the semantic dataset providing contextual guidance of an environment of the first agent;
• evaluate the semantic dataset to determine whether further evaluation is required to improve an operation of the fleet of agents;
• in response to determining that further evaluation of the semantic dataset is required:
• evaluate the semantic dataset to identify, based at least on a context of the semantic dataset, a subsequent artificial intelligence data model suitable for refining the semantic dataset for improving the operation of the fleet of agents, and
• apply the subsequent artificial intelligence models to the semantic dataset to further refine the semantic dataset to improve the operation of the fleet of agents;
• otherwise, evaluate the dataset to identify one or more other agents within the fleet for which the one or more critical features identified from the input dataset is relevant;
• responsive to determining that the semantic dataset is relevant to the one or more other agents, initiate, by the first agent, communication of the semantic dataset to the one or more agents, the semantic dataset having a semantic data size smaller than an input data size of the input dataset, whereby improving a transmission efficiency from the first agent;
• and
• in response to receiving the semantic dataset at the one or more agents, operate a semantic interpretation system at the one or more other agents to analyze the semantic dataset to determine one or more operations at each other agent of the one or more other agents, the one or more operations comprising at least one different operation as between each other agent of the one or more other agents.