University of Oulu

Codesign of edge intelligence and automated guided vehicle control

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Author: Gallage, Malith1
Organizations: 1University of Oulu, Faculty of Information Technology and Electrical Engineering, Communications Engineering
Format: ebook
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 22.5 MB)
Pages: 36
Persistent link: http://urn.fi/URN:NBN:fi:oulu-202212143753
Language: English
Published: Oulu : M. Gallage, 2022
Publish Date: 2022-12-14
Thesis type: Master's thesis (tech)
Tutor: Samarakoon, Sumudu
Scaciota Simôes da Silva, Rafaela
Bennis, Mehdi
Reviewer: Samarakoon, Sumudu
Scaciota Simôes da Silva, Rafaela
Description:

Abstract

In recent years, edge Artificial Intelligence (AI) coupled with other technologies such as autonomous systems have gained a lot of attention. This work presents a harmonic design of Autonomous Guided Vehicles (AGV) control, edge intelligence, and human input to enable autonomous transportation in industrial environments. The AGV has the capability to navigate between a source and destinations and pick/place objects. The human input implicitly provides the preferences of the destination and exact drop point, which are derived from the AI at the network edge and shared with the AGV over a wireless network. Design and integration of autonomous control of AGV, edge intelligence, and communication therein are carried out in this work and presented as a unified demonstration. The demonstration indicates that the proposed design of hardware, software, and intelligence design achieves the Technology Readiness Level (TRL) of range 4–5.

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Copyright information: © Malith Gallage, 2022. This publication is copyrighted. You may download, display and print it for your own personal use. Commercial use is prohibited.