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Assessment of industrial robots accuracy in relation to accuracy improvement in machining processes

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F16%3APU121975" target="_blank" >RIV/00216305:26210/16:PU121975 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/document/7752083/" target="_blank" >http://ieeexplore.ieee.org/document/7752083/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/EPEPEMC.2016.7752083" target="_blank" >10.1109/EPEPEMC.2016.7752083</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Assessment of industrial robots accuracy in relation to accuracy improvement in machining processes

  • Original language description

    Using standard 6 DOF industrial robots for machining applications represents a significant market potential. Industrial robots have become a tool for various machining processes due to its universality - an ability to perform any type of movement in space - and low price compared to CNC milling machines. However, there are still limitations concerned with a much lower absolute accuracy, in comparison with CNC machines, caused mainly by a low static stiffness of the whole serial kinematic chain of a 6 DOF robot. Using the robots for machining is rather limited to applications with lower geometrical accuracy. To expand a possible scope of applications into milling operations, a new methodology is proposed to address the problem of lower absolute accuracy and concerned with KUKA robots. First, an experimental investigation of sources of main errors, having the impact on the product accuracy and surface quality, is presented. In this paper, we also focused on a comparison of internal robots states (actual robot positions) with measurements obtained from external systems such as Ballbar and Laser Tracker systems. Based on this investigation focused on KUKA robots, an online method for compensating the main source of errors - backlash errors resulting from the drive reversion - is proposed.

  • 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/TA04010421" target="_blank" >TA04010421: Online correction of robot paths based on sensor information</a><br>

  • Continuities

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

Others

  • Publication year

    2016

  • Confidentiality

    C - Předmět řešení projektu podléhá obchodnímu tajemství (§ 504 Občanského zákoníku), ale název projektu, cíle projektu a u ukončeného nebo zastaveného projektu zhodnocení výsledku řešení projektu (údaje P03, P04, P15, P19, P29, PN8) dodané do CEP, jsou upraveny tak, aby byly zveřejnitelné.

Data specific for result type

  • Article name in the collection

    2016 IEEE International Power Electronics and Motion Control

  • ISBN

    978-1-5090-1797-3

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    720-725

  • Publisher name

    The Institute of Electrical and Electronics Engineers

  • Place of publication

    Varna, Bulgaria

  • Event location

    Varna, Bulgaria

  • Event date

    Sep 25, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000390590000105