DocumentCode
612397
Title
Kinematic calibration of 6-UPS surgical parallel robot
Author
Weidong Wang ; Litao Zhang ; Junlin Ma
Author_Institution
State Key Lab. of Robot. & Syst., Harbin Inst. of Technol., Harbin, China
fYear
2013
fDate
25-28 May 2013
Firstpage
369
Lastpage
374
Abstract
In the applications of parallel robots, Kinematic calibration is one of the most effective methods to improve the accuracy of surgical parallel robots. In this paper, a brief kinematic calibration method which is used in the 6-UPS (Universal Prismatic Spherical) surgical parallel robot is discussed. Firstly, the primary error factors needed to be identified are proposed based on the kinematic mathematical model of the 6-UPS surgical parallel robot. Then the method of pose measurement is studied, and the definitions of the position deviation and orientation deviation which are used to evaluate the experimental results are illustrated. Lastly, an iterative least squares procedure is used to identify the error parameters, and the kinematic calibration experiment is carried out. From the statistical analysis of the experimental results, the effect of the method to improve the accuracy of the 6-UPS surgical parallel robot is demonstrated.
Keywords
calibration; iterative methods; least squares approximations; medical robotics; parameter estimation; position measurement; robot kinematics; statistical analysis; surgery; 6-UPS surgical parallel robots; error parameter identification; iterative least squares procedure; kinematic calibration method; kinematic mathematical model; orientation deviation; pose measurement; position deviation; statistical analysis; universal prismatic spherical surgical parallel robot; Calibration; Equations; Kinematics; Mathematical model; Mobile communication; Optical variables measurement; Parallel robots; Kinematic Calibration; Optical Position Sensor; Parallel Robot; Pose Measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Complex Medical Engineering (CME), 2013 ICME International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4673-2970-5
Type
conf
DOI
10.1109/ICCME.2013.6548271
Filename
6548271
Link To Document