DocumentCode
3011292
Title
Validation of a Parametric Identification Technique through a Derivative CESTAC Method
Author
Marcassus, N. ; Vandanjon, P.O. ; Janot, A. ; Gautier, M.
Author_Institution
Cybern. de Nantes, Nantes
fYear
2007
fDate
20-23 June 2007
Firstpage
303
Lastpage
308
Abstract
Parametric identification consists in estimating the values of physical parameters of robotic systems. The most popular methods consist in using the least squares regression because of their simplicity. However, we know that these techniques are not intrinsically robust. An alternative consists in justifying the use of the LS technique. This paper focuses on this issue and introduces a derivation of the CESTAC method which will be applied to a 6 degrees of freedom (DOF) serial robot.
Keywords
parameter estimation; robots; 6 degrees of freedom serial robot; derivative CESTAC method; parametric identification; physical parameters; robotic systems; Acceleration; Computational intelligence; Friction; Gravity; Inverse problems; Least squares methods; Robot sensing systems; Robotics and automation; USA Councils; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence in Robotics and Automation, 2007. CIRA 2007. International Symposium on
Conference_Location
Jacksonville, FI
Print_ISBN
1-4244-0790-7
Electronic_ISBN
1-4244-0790-7
Type
conf
DOI
10.1109/CIRA.2007.382898
Filename
4269898
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