{
  "abstract": "A system includes a fleet resources data store that maintains a fleet resource inventory indicating fleet resources that can be assigned to perform tasks. For each fleet resource, the inventory indicates features of each fleet resource and a respective status. A set of task definitions is accessible to an intelligence layer to facilitate improving task definition based on feedback from task-specific outcomes. The system receives a job request for a robotic fleet to perform a job and determines a job definition data structure indicating a set of tasks to be performed for the job. The system applies an outcome of performing a task by a resource assigned to perform the task to a machine learning system of the intelligence layer that facilitates improving, based on the outcome, the set of task definitions. The system updates the set of task definitions based on a result of applying the machine learning system.",
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    "STRONG FORCE VCN PORTFOLIO 2019 LLC"
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    "CELLA CHARLES H",
    "EL-TAHRY TEYMOUR S",
    "FORTIN JR LEON"
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  "title": "Machine-learned robot fleet management for value chain networks",
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