The PAN-Robots project: Advanced automated guided vehicle systems for industrial logistics

Lorenzo Sabattini, Mika Aikio, Patric Beinschob, Markus Boehning, Elena Cardarelli, Valerio Digani, Annette Krengel, Massimiliano Magnani, Szilard Mandici, Fabio Oleari, Christoph Reinke, Davide Ronzoni, Christian Stimming, Robert Varga, Andrei Vatavu, Sergi Castells Lopez, Cesare Fantuzzi, Aki Mäyrä, Sergiu Nedevschi, Cristian SecchiKay Fuerstenberg

    Research output: Contribution to journalArticleScientificpeer-review

    47 Citations (Scopus)

    Abstract

    In modern manufacturing plants, automation is widely adopted in the production phases, which leads to a high level of productivity and efficiency. However, the same level of automation is generally not achieved in logistics, typically performed by human operators and manually driven vehicles. In fact, even though automated guided vehicles (AGVs) have been used for a few decades for goods transportation in industrial environments [1], they do not yet represent a widespread solution and are typically applied only in specific scenarios.
    Original languageEnglish
    Pages (from-to)55-64
    JournalIEEE Robotics and Automation Letters
    Volume25
    Issue number1
    Early online date2017
    DOIs
    Publication statusPublished - 2018
    MoE publication typeA1 Journal article-refereed

    Funding

    This article is written within the PAN-Robots project. The research leading to these results has received funding from the European Union Seventh Framework Program (FP7/2007-2013) under grant agreement 314193.

    Fingerprint

    Dive into the research topics of 'The PAN-Robots project: Advanced automated guided vehicle systems for industrial logistics'. Together they form a unique fingerprint.

    Cite this