A Collaborative Control Model for Shop-Floor Material Handling System Based on Artificial Intelligence

Zhenfei Zhu, Yifan Pang, Yingfeng Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Industrial robots like automated guided vehicles (AGV) have drawn increased attention due to their flexibility and low cost. However, there are still several challenges, such as serious waste of vehicle loading capacity and the inability to change strategies when needed. To address these challenges, an Artificial Intelligence (AI) based collaborative control model is proposed. To achieve rapid response to changes from both high-level control systems and plant environment, the optimized decision rules are built to support the AGV self-decision-making to improve flexibility and interoperability. Then, by sharing the information on transport tasks, the vehicle can submit requests to take tasks proactively. The production logistic service system is built to assess the transport capabilities of vehicles and optimize the task plans to decrease the No-load rate of vehicles, improving overall efficiency. The presented method is demonstrated by a set of simulations, which proved that the overall task completion efficiency and the utilization of the vehicles are improved.

Original languageEnglish
Title of host publication2023 3rd International Conference on Electronic Information Engineering and Computer Communication, EIECC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages364-370
Number of pages7
ISBN (Electronic)9798350359961
DOIs
StatePublished - 2023
Event3rd International Conference on Electronic Information Engineering and Computer Communication, EIECC 2023 - Hybrid, Wuhan, China
Duration: 22 Dec 202324 Dec 2023

Publication series

Name2023 3rd International Conference on Electronic Information Engineering and Computer Communication, EIECC 2023

Conference

Conference3rd International Conference on Electronic Information Engineering and Computer Communication, EIECC 2023
Country/TerritoryChina
CityHybrid, Wuhan
Period22/12/2324/12/23

Keywords

  • Artificial Intelligence
  • Automated Guided Vehicle
  • Collaborative control model
  • rule-based decision making
  • shop-floor material handling

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