Proceedings ArticleDOI
On the comparison of interpolation techniques for robotic position compensation
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TLDR
A novel technique for the position error compensations of the robot and manipulator calibration process based on a fuzzy error interpolation method is described and more accurate compensation result can be achieved compared with the bilinear and cubic spline interpolation methods.Abstract:
This paper describes a novel technique for the position error compensations of the robot and manipulator calibration process based on a fuzzy error interpolation method. Traditional robots calibration implements model and modeless methods. Bilinear and cubic splines are the two popular techniques for the compensation of position error in modeless method. By using the fuzzy error interpolation technique provided in this paper, the accuracy of the position error compensation can be greatly improved. The comparison between the two popular traditional interpolation methods and this fuzzy error interpolation technique is made via simulation for three commonly used error models. The simulation results show that more accurate compensation result can be achieved using the fuzzy error interpolation technique compared with the bilinear and cubic spline interpolation methods.read more
Citations
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Journal ArticleDOI
On the comparison of model-based and modeless robotic calibration based on a fuzzy interpolation method
TL;DR: The simulated results show that the modeless fuzzy interpolation method is compatible with the model-based calibration method, and even outperforms a model- based counterpart in terms of accuracy and complexity in a relatively compact workspace.
Proceedings ArticleDOI
Improving Position Accuracy of Robot Manipulators Using Neural Networks
Dali Wang,Ying Bai +1 more
TL;DR: A neural network based method was presented to estimate the position errors in a robot manipulator calibration process using a set of measurement within a window to form the input and output pairs of training data.
Proceedings ArticleDOI
A Local Image Interpolation Method Based On Gradient Analysis
TL;DR: A novel image interpolation method based on gradient analysis is presented, which gives an attention to the precision and complexity of interpolation procedure.
Proceedings ArticleDOI
Image Zooming Method Using 2D EMD Technique
Yan Tian,Ying Huang,Yongjiang Li +2 more
TL;DR: An image decomposition method called empirical mode decomposition (EMD) is first addressed in this paper, and then the problems such as searching local extrema points and boundary extension are discussed in detail.
Proceedings ArticleDOI
Modeless robots calibration in 3D workspace with an on-line fuzzy interpolation technique
Ying Bai,Hanqi Zhuang +1 more
TL;DR: The simulated results given in this paper show that not only robot compensation accuracy can be greatly improved with this fuzzy interpolation method, but also the calibration process can be significantly simplified therefore it is suitable for practical applications.
References
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Book
Curves and Surfaces for Computer-Aided Geometric Design: A Practical Guide
TL;DR: The fourth edition has been thoroughly updated and revised to include a new chapter on recursive subdivision, as well as new sections on triangulations and scattered data interpolants, and the disk in the back of the book has been updated to include all of the programs, as the data sets from the text.
Journal ArticleDOI
Camera calibration with distortion models and accuracy evaluation
Juyang Weng,P. Cohen,M. Herniou +2 more
TL;DR: A camera model that accounts for major sources of camera distortion, namely, radial, decentering, and thin prism distortions is presented and a type of measure is introduced that can be used to directly evaluate the performance of calibration and compare calibrations among different systems.
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Elementary Numerical Analysis
TL;DR: This chapter discusses Taylor Polynomials, Numerical Linear Algebra, and the Finite Difference Method for PDEs, as well as other topics of interest to students of mathematics.
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