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Enhancing Robot Positioning Accuracy Using Optimal Configuration Data

應用最佳輪廓數據以增強機械手臂之定位精度

摘要


能有效選取恰當的輪廓數據,以校正機械手臂之連桿參數,進而提升機械手臂之定位精確度,是本研究的目的。本研究針對機械手臂校正參數的數學模式以實驗數據資料進行參數特徵分析,以瞭解所量取機械手臂工作空間之不同輪廓數據對校正連桿參數的影響,並能獲得該連桿參數之校正數學模式的最佳輪廓數據資料特性和所需的最少數據組數。

並列摘要


This study aims to obtain optimal configuration data for calibrating parameters of robots in order to enhance the positioning accuracy. Analysis of calibration parameters finds a huge deviation in each coordinate dimension of robot configuration when uniaxial or biaxial robot pose data were used to identify the geometric parameters through the calibration model. Hence, triaxial coordinate data are used. Experimental results show that pose data from three-dimensional planes can yield better calibration precision with the maximum deviation below 0.4mm for any axis. In addition, the minimum number of configuration data sets needed for achieving steady deviation in positioning accuracy is also determined.

參考文獻


Borm, J. H.,C. H. Menq(1991).Determination of Optimal Measurement Configurations for Robot Calibration Based on Observability Measurements.The International Journal of Research.10(1)
Day, C. P.(1988).Robot Accuracy Issue and Methods of Improvement.Robotics Today.1,1-9.
Everett, L. J.,M. Driels,B. W. Mooring(1987).Kinematic Modeling for Robot Calibration.(Proceedings of IEEE International Conference Robotics and Automation).
Judd, R. P.,Al. B. Knasinski(1990).A Technique to Calibrate Industrial Robots with Experimental Verification.IEEE Transactions on Robotics and Automation.6(1)
Montgomery, D. C.,E. A. Peck(1982).(Introduction to Linear Regression Analysis).

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