A hybrid-L<sub>p</sub>-Norms-Oriented Robot Kinematic Calibration Model Optimized by a Novel Newton Interpolated Differential Evolution Algorithm-Reference-Cited by-同舟云学术

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A hybrid-L_p-Norms-Oriented Robot Kinematic Calibration Model Optimized by a Novel Newton Interpolated Differential Evolution Algorithm

Published:2023-12-04 Issue: Volume: Page:406-411
ISSN:
Container-title:2023 IEEE International Conference on Data Mining Workshops (ICDMW)
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Author:

Chen Tinghui¹,Li Shuai²

Affiliation:

1. Chongqing University of Posts and Telecommunications,School of Computer Science and Technology,Chongqing,China

2. University of Oulu VTT-Technical Research Center of Finland,Faculty of Information Technology and Electrical Engineering,Oulu,Finland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10411504/10411508/10411606.pdf?arnumber=10411606

Reference17 articles.

1. Separable Nonlinear Least Squares Algorithm for Robust Kinematic Calibration of Serial Robots

2. Efficient Industrial Robot Calibration via a Novel Unscented Kalman Filter-Incorporated Variable Step-Size Levenberg–Marquardt Algorithm

3. A Novel Calibration System for Robot Arm via an Open Dataset and a Learning Perspective

4. Stable Calibrations of Six-DOF Serial Robots by Using Identification Models with Equalized Singular Values

5. Structure-from-motion based hand-eye calibration using L∞ minimization

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