Serial Robot Kinematic Calibration Using a Novel Linear Finite Screw Deviation Model

This letter introduces a novel method for calibrating serial robots using the Linearized Finite Screw Deviation (LFSD) model, aiming to minimize errors within the robot's workspace with a few end-effector postures. In contrast to prior studies that require several end-effector posture measurements, our proposed method presents a more resource-efficient approach suitable for practical applications. The proposed LFSD model stands out by enabling the identification of axis deviations with significantly fewer end-effector points compared to previous studies. This reduction in measurement points not only enhances applicability but also reduces the potential possibilities of noise arising from end-effector measurements. Moreover, the method's simple affine structure extends its applicability to the calibration of redundant robots. To validate the effectiveness of our proposed method, simulations and experiments with wire-encoder-based stereotactic devices were conducted on serial robots with five and six degrees of freedom.

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Publication Details

Journal
IEEE Robotics and Automation Letters
Published
2024-10-14
DOI
https://doi.org/10.1109/lra.2024.3480521
Citations
3
Primary Topic
Robotic Mechanisms and Dynamics
Type
article
Field-Weighted Citation Impact
0.98
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article

Serial Robot Kinematic Calibration Using a Novel Linear Finite Screw Deviation Model

Jae‐Hyung Kim, Min Cheol Lee
3 citations
IEEE Robotics and Automation Letters
Robotic Mechanisms and Dynamics
0.98
article

Serial Robot Kinematic Calibration Using a Novel Linear Finite Screw Deviation Model

Jae‐Hyung Kim, Min Cheol Lee
article en
3 citations

Abstract

This letter introduces a novel method for calibrating serial robots using the Linearized Finite Screw Deviation (LFSD) model, aiming to minimize errors within the robot's workspace with a few end-effector postures. In contrast to prior studies that require several end-effector posture measurements, our proposed method presents a more resource-efficient approach suitable for practical applications. The proposed LFSD model stands out by enabling the identification of axis deviations with significantly fewer end-effector points compared to previous studies. This reduction in measurement points not only enhances applicability but also reduces the potential possibilities of noise arising from end-effector measurements. Moreover, the method's simple affine structure extends its applicability to the calibration of redundant robots. To validate the effectiveness of our proposed method, simulations and experiments with wire-encoder-based stereotactic devices were conducted on serial robots with five and six degrees of freedom.

IEEE Robotics and Automation LettersVol. 9(12)
Pusan National University (KR)
Openalex Percentile: Top 23%
Robotic Mechanisms and Dynamics
0.98
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