Replication Data for: Simple Estimation Algorithm for Laser Tracker Localization in Industrial Robot Calibration

DOI

This paper presents a straightforward algorithm for locating laser trackers in the calibration tasks of industrial robots. Laser trackers are important for enhancing the positioning precision of industrial robots, which generally experience positioning inaccuracies. The algorithm meets the requirement for accurate kinematic models to guarantee the visibility of the laser target and facilitate precise calibration.

The approach employs singular value decomposition (SVD) along with two identification paths to assess the transformation from the laser tracker to the robot's reference frame. Experimental testing on a KUKA KR210-2 robot shows the method's precision, resulting in an average positioning error of 2.002 mm and a highest error of 5.040 mm in novel test positions. The method reduces dependence on stationary calibration fixtures, streamlines configuration, and readily adjusts to modifications in the laser tracker’s location.

This method serves as an economical and effective substitute for robot calibration and activities that need ongoing laser tracker measurements, including path tracking and quality assurance.

Identifier
DOI https://doi.org/10.18419/DARUS-4559
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/DARUS-4559
Provenance
Creator Dzubba, Marcel ORCID logo
Publisher DaRUS
Contributor Dzubba, Marcel; ISW DaRUS Admin
Publication Year 2025
Funding Reference DFG 497511198
Rights CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact Dzubba, Marcel (Universität Stuttgart); ISW DaRUS Admin (Universität Stuttgart)
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 2101317; 3693821; 402; 221; 11201; 23995
Version 1.0
Discipline Construction Engineering and Architecture; Engineering; Engineering Sciences