Artifact: Codesign of Edge Intelligence and Automated Guided Vehicle Control

Gallage, Malith; Scaciota, Rafaela; Samarakoon, Sumudu; Bennis, Mehdi (2023-06-21)
 
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https://doi.org/10.1109/PerComWorkshops56833.2023.10150382

Gallage, Malith
Scaciota, Rafaela
Samarakoon, Sumudu
Bennis, Mehdi
IEEE
21.06.2023

M. Gallage, R. Scaciota, S. Samarakoon and M. Bennis, "Artifact: Codesign of Edge Intelligence and Automated Guided Vehicle Control," 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Atlanta, GA, USA, 2023, pp. 5-6, doi: 10.1109/PerComWorkshops56833.2023.10150382.

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doi:https://doi.org/10.1109/PerComWorkshops56833.2023.10150382
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https://urn.fi/URN:NBN:fi:oulu-202401181348
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Abstract

This is the replication package for the paper, Code-sign of Edge Intelligence and autonomous guided vehicle (AGV) Control, which is published at the International Conference on Pervasive Computing and Communications (PerCom), 2023. The paper presents the codesign of edge intelligence and AGV that can be utilized to automate repetitive tasks with a high degree of accuracy and efficiency while having the human-in-the-loop and thereby improving productivity. The artifact contains an introduction that presents the operation of the AGV, the hardware configuration, and scripts and instructions for replicating the results produced in the paper.
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