A Novel Optimal Design of Measurement Configurations in Robot Calibration

Robot calibration highly depends on redundant measurement configurations to collect enough sample data for higher accuracy, but excessive measurements seem to be uneconomical and time-consuming. Thus lots of observability indexes to evaluate the goodness of the measurement configurations have been p...

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Bibliographic Details
Published in:Mathematical problems in engineering Vol. 2018; no. 2018; pp. 1 - 17
Main Authors: Wang, Lei, Chen, Gang, Wang, Shiwei, Jia, Qingxuan, Sun, Hanxu
Format: Journal Article
Language:English
Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2018
Hindawi
John Wiley & Sons, Inc
Subjects:
Accuracy
Algorithms
Automation
Calibration
Computer simulation
Configuration management
Configurations
Design modifications
Identification
International conferences
Investigations
Kinematics
Manufacturing
Mathematical models
Observability (systems)
Parameter estimation
Parameter identification
Parameter modification
Robotics
Robots
ISSN:1024-123X, 1563-5147
Online Access:Get full text
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Summary:Robot calibration highly depends on redundant measurement configurations to collect enough sample data for higher accuracy, but excessive measurements seem to be uneconomical and time-consuming. Thus lots of observability indexes to evaluate the goodness of the measurement configurations have been proposed. However, in some circumstances, it is of critical importance to obtain accurate kinematic parameters and estimate the end-effector pose precisely at the same time. Obviously one single observability index can hardly meet this need yet. Accordingly, after analyzing the essential constrains of robot calibration and the influence of measurement configurations on the observability indexes, an optimization model with two observability indexes to be taken into consideration is proposed in this paper, and then the existing DETMAX algorithm is modified to seek optimal design of measurement configurations, by adopting a set-constructing method and a set-shrinking method. Much better results have been obtained by simulation study, which implies that the proposed model and the modified DETMAX algorithm perform well in both kinematic parameter identification and pose estimation of the end-effector of the robot.
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ISSN:1024-123X
1563-5147
DOI:10.1155/2018/4689710