Selection of Optimal Measuring Points Using Genetic Algorithm in the Process to Calibrate Robot Kinematic Parameters

Aoyagi, Shigeaki

doi:10.5772/38318

Cited by 1 publication

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“…In the first generation, an initial population of random individuals GAs are one of the most commonly used global optimization techniques with several examples involving kinematic calibration. Aoyagi [43] and Wu et al [44] use GAs for selecting the best suited manipulator configuration for calibration, this can reduce the number of measurement points needed while maintaining satisfactory accuracy, which in turn reduces the time required on the manufacturing floor for performing a calibration.…”

Section: Genetic Algorithmmentioning

confidence: 99%

Kinematic Calibration of Serial Manipulators Using Relative Measurements

Lu¹

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Kinematic calibration is necessary to enhance the accuracy of robotic manipulators. It is typically desired to perform this task in both a cost-effective and time-efficient manner. Many techniques exist in the literature that achieve both goals. In this thesis, a novel model-based kinematic calibration method using relative measurements is developed and implemented, which has proven to be useful for optical measurements, and is capable of achieving the same level of accuracy as the typical absolute measurement methods. Furthermore, the effects of measurement noise, the number of measured poses, and the best pose configurations for kinematic calibration are investigated. Both a Thermo CRS A465 and a 7 DOF WAM Arm were used in this thesis. The results for the WAM Arm lead to a significant improvement in the end-effector pose accuracy. The implication is that the relative measurement concept is a valid tool for model-based kinematic calibration of serial manipulators. iii iv Table of Contents v List of Tables ix List of Figures xi Appendix B Links Velocities Representations 122

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Section: Genetic Algorithmmentioning

confidence: 99%

Kinematic Calibration of Serial Manipulators Using Relative Measurements

Lu¹

View full text Add to dashboard Cite

show abstract

Selection of Optimal Measuring Points Using Genetic Algorithm in the Process to Calibrate Robot Kinematic Parameters

Cited by 1 publication

References 20 publications

Kinematic Calibration of Serial Manipulators Using Relative Measurements

Kinematic Calibration of Serial Manipulators Using Relative Measurements

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