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Autonomous forklifts: State of the art—exploring perception, scanning technologies and functional systems—A Comprehensive review

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posted on 2025-01-16, 10:30 authored by Muftah FraiferMuftah Fraifer, Joseph ColemanJoseph Coleman, James Maguire, Petar TrslicPetar Trslic, Gerard DoolyGerard Dooly, Daniel ToalDaniel Toal

This paper presents a comprehensive overview of cutting-edge autonomous forklifts, with a strong emphasis on sensors, object detection and system functionality. It aims to explore how this technology is evolving and where it is likely headed in both the near and long-term future, while also highlighting the latest developments in both academic research and industrial applications. Given the critical importance of object detection and recognition in machine vision and autonomous vehicles, this area receives particular attention. The article provides an in-depth summary of both commercial and prototype forklifts, discussing key aspects such as design features, capabilities and benefits, and offers a detailed technical comparison. Specifically, it clarifies that all available data pertains to commercially available forklifts. To obtain a better understanding of the current state-of the-art and its limitations, the analysis also reviews commercially available autonomous forklifts. Finally, this paper includes a comprehensive bibliography of research findings in this field

History

Publication

Electronics 14(1), 153

Other Funding information

Lero—the Science Foundation Ireland Research Centre for Software (www.lero.ie) and Combilift under the project titled: APPS Autonomous Payload Perception Systems: A Technical Feasibility Exploration

Also affiliated with

  • LERO - The Science Foundation Ireland Research Centre for Software

Department or School

  • School of Engineering

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