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Evaluation of Kinematic and Compliance Calibrationof Serial Articulated Industrial Manipulators
Hiroshima University.
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Manufacturing and Metrology Systems.ORCID iD: 0000-0002-2376-4922
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Manufacturing and Metrology Systems.ORCID iD: 0000-0001-9185-4607
Hiroshima University.
2021 (English)In: International Journal of Automation Technology, ISSN 1881-7629, E-ISSN 1883-8022, Vol. 15, no 5, p. 567-580Article in journal (Refereed) Published
Abstract [en]

As long as industrial robots are programmed by teachprogramming, their positioning accuracy is unimportant.With a wider implementation of offline programmingand new applications such as machining, ensuringa higher positioning accuracy of industrial robotsover the entire working space has become very important.In this paper, we first review the measurementschemes of end effector poses. We then outline kinematicmodelsof serial articulated industrialmanipulatorsto quantify the positioning accuracy with a focuson the extension of the classical Denavit-Hartenberg(DH) models to include rotary axis error motions.Subsequently, we expand the discussion on kinematicmodels to compliant robot models. The review highlightscompliance models that are applied to calculatethe elastic deformation produced by forces, namelygravity and external loads. Model-based numericalcompensation plays an important role in machine toolcontrol. This paper aims to present state-of-the-arttechnical issues and future research directions for theimplementation of model-based numerical compensationschemes for industrial robots.

Place, publisher, year, edition, pages
Japan: Fuji Technology Press Ltd. , 2021. Vol. 15, no 5, p. 567-580
Keywords [en]
industrial robot, robot calibration, model identification, compensation
National Category
Robotics and automation Control Engineering
Research subject
Machine Design
Identifiers
URN: urn:nbn:se:kth:diva-302344DOI: 10.20965/ijat.2021.p0567ISI: 000693411200002Scopus ID: 2-s2.0-85114962320OAI: oai:DiVA.org:kth-302344DiVA, id: diva2:1595853
Note

QC 20211027

Available from: 2021-09-20 Created: 2021-09-20 Last updated: 2025-02-05Bibliographically approved

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Theissen, Nikolas AlexanderArchenti, Andreas

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CiteExportLink to record
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