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Codesign of Edge Intelligence and Automated Guided Vehicle Control

arXiv 2305.09788 ↗First posted 3 May 2023cs.CV cs.AI cs.LGcited by 0

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Abstract (arXiv)

This work presents a harmonic design of autonomous guided vehicle (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 preferences of the destination and exact drop point, which are derived from an artificial intelligence (AI) module at the network edge and shared with the AGV over a wireless network. The demonstration indicates that the proposed integrated design of hardware, software, and AI design achieve a technology readiness level (TRL) of range 4-5

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 1 of its 9 references that are in the map. First posted on arXiv 3 May 2023.

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References · 1

  1. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713

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