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

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DataCite Commons2025-01-14 更新2025-04-17 收录
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https://darus.uni-stuttgart.de/citation?persistentId=doi:10.18419/darus-4559
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<p>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. </p> <p>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. </p> 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.
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DaRUS
创建时间:
2024-10-31
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