Optimal synthesis of pose repeatability for collaborative robots based on the ISO 9283 standard
ISSN: 0143-991X
Article publication date: 30 August 2019
Issue publication date: 14 November 2019
Abstract
Purpose
The purpose of this paper is to search the optimal arrangement scheme of random motion accuracy of joints for optimal synthesis of pose repeatability which can make robot design more reasonable and reduce the development cost of robots.
Design/methodology/approach
In this paper, a mathematical model of pose repeatability, which includes positioning repeatability and orientation repeatability of robots, is established. According to the ISO 9283 standard, an optimal synthesis method of pose repeatability for collaborative robots is introduced, and three optimization objective functions are proposed. The optimization model is solved by using numerical analysis software, and the optimal arrangement scheme of random motion accuracy of joints is obtained which meets the requirements of pose repeatability of robot.
Findings
It is found that, in three optimization objective functions, the single-objective evaluation function of maximization of joint motion error is more suitable for optimal synthesis of pose repeatability. In practice, due to the safety factor, the test results of pose repeatability are better than the results of optimal synthesis of pose repeatability.
Practical implications
This method makes robot design more reasonable and reduces the development cost of robots.
Originality/value
This work is the first time to optimize the orientation repeatability of collaborative robots. Because the pose repeatability of most robots is tested by the ISO 9283 standard, so this method which is based on this standard is more suitable for the performance requirements of robot products.
Keywords
Citation
Hu, M., Wang, H., Pan, X. and Tian, Y. (2019), "Optimal synthesis of pose repeatability for collaborative robots based on the ISO 9283 standard", Industrial Robot, Vol. 46 No. 6, pp. 812-818. https://doi.org/10.1108/IR-03-2019-0056
Publisher
:Emerald Publishing Limited
Copyright © 2019, Emerald Publishing Limited