---
publication_id: "OT-2026-000002585"
title: "Machine-learned robot fleet management for value chain networks"
published_at: "2026-09-15T19:14:01.159058Z"
canonical_url: "https://opentechnical.org/p/OT-2026-000002585"
categories:
  - "sensors-controls-machine-vision/industrial-control"
keywords:
  - "g05d1/0297"
  - "g06q10/06313"
  - "g06q10/0633"
  - "g06q20/14"
  - "g06q20/14"
  - "b22f10/70"
---

# Machine-learned robot fleet management for value chain networks

## 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.