Towards a Digital Twin for Autonomous Warehouse Fleet Control

Research output: Contribution to book or proceedingConference articlepeer-review

Abstract

In this work a system architecture for autonomous warehouse fleet control software is described. The fleet control software has three main components, The AGV Software, Robot Commander, and Fleet Commander. The AGV Software handles low-level robot motor control and basic instructions of the AGV robot. Robot Commander handles robot navigation and order fulfillment. Fleet Commander handles coordinated services and a webbased ordering system. The architecture selected fulfills a need for a system that can run decentralized robot control algorithms, including AS-RS algorithms, and the ability for a digital twin system to integrate to retrieve and optimize the system. This system is designed as a platform for robot guidance, racking picking and packing algorithms, camera vision, and digital twin research.

Original languageEnglish
Title of host publication2025 6th International Conference on Artificial Intelligence, Robotics, and Control, AIRC 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages202-206
Number of pages5
ISBN (Electronic)9798331543488
ISBN (Print)9798331543488
DOIs
StatePublished - May 7 2025
Event6th International Conference on Artificial Intelligence, Robotics, and Control, AIRC 2025 - Savannah, United States
Duration: May 7 2025May 9 2025

Publication series

Name2025 6th International Conference on Artificial Intelligence, Robotics and Control (AIRC)

Conference

Conference6th International Conference on Artificial Intelligence, Robotics, and Control, AIRC 2025
Country/TerritoryUnited States
CitySavannah
Period05/7/2505/9/25

Scopus Subject Areas

  • Mechanical Engineering
  • Control and Optimization
  • Artificial Intelligence
  • Computer Science Applications

Keywords

  • AS-RS
  • digital twin
  • robot fleet control
  • system architecture

Fingerprint

Dive into the research topics of 'Towards a Digital Twin for Autonomous Warehouse Fleet Control'. Together they form a unique fingerprint.

Cite this