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Calibrating Industrial Robots with Absolute Position Tracking System

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F20%3A00346490" target="_blank" >RIV/68407700:21730/20:00346490 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/ETFA46521.2020.9212169" target="_blank" >https://doi.org/10.1109/ETFA46521.2020.9212169</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ETFA46521.2020.9212169" target="_blank" >10.1109/ETFA46521.2020.9212169</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Calibrating Industrial Robots with Absolute Position Tracking System

  • Original language description

    Industry 4.0 vision is related to flexible and reconfigurable production systems with a special focus on robotic systems. Accuracy of robots together with decreased time needed for robot calibration are the key success factors for robotic production systems. This paper reflects lessons learned from calibrating robot tools (such as grippers) and local coordinate systems (such as warehouse plates or shuttle plates) in industrial setting. We propose a new method for robot tool and workplace calibration with an absolute tracking system, in our case produced by Leica. Compared to the traditional manual approach relying on moving the robot arm to specific positions that are considered relatively to other objects, the proposed absolute approach is faster and more precise. It is contact-less compared to the currently used methods and thus it reduces risks of damages by accidental collisions. On the other hand, it requires costly equipment that is not frequent on production sites. The proposed approach is demonstrated on the Industry 4.0 Testbed use-case, hosted at the Czech Technical University in Prague. With this approach, we are able to make the robot calibration faster and more precise.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20204 - Robotics and automatic control

Result continuities

  • Project

    <a href="/en/project/EF16_026%2F0008432" target="_blank" >EF16_026/0008432: Cluster 4.0 - Methodology of System Integration</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

  • ISBN

    978-1-7281-8956-7

  • ISSN

    1946-0740

  • e-ISSN

    1946-0759

  • Number of pages

    4

  • Pages from-to

    1187-1190

  • Publisher name

    IEEE Industrial Electronic Society

  • Place of publication

    Vienna

  • Event location

    Vídeň

  • Event date

    Sep 8, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000627406500171