Title :
A rule-based framework for parameter estimation of robot dynamic models
Author :
Lucyshyn, Robert ; Angeles, Jorge
Author_Institution :
Dept. of Mech. Eng., McGill Univ., Montreal, Que., Canada
Abstract :
An approach to parameter estimation of robot dynamic models, in particular inertial terms, using symbolic computations is presented. The approach makes use of a class of manipulator test motions whose definition is more general than in previous works. Methods for analyzing the symbolic structure of these test motions are presented and, in particular, an approach to motion determination providing good excitation of inertial parameters is introduced. An overall strategy for identifying all base inertial parameters of dynamic model is outlined
Keywords :
artificial intelligence; parameter estimation; robots; inertial terms; manipulator test motions; parameter estimation; robot dynamic models; rule-based framework; symbolic computations; symbolic structure; Actuators; Equations; Intelligent robots; Machine intelligence; Manipulator dynamics; Mechanical engineering; Motion analysis; Motion control; Parameter estimation; Testing;
Conference_Titel :
Intelligent Robots and Systems '91. 'Intelligence for Mechanical Systems, Proceedings IROS '91. IEEE/RSJ International Workshop on
Conference_Location :
Osaka
Print_ISBN :
0-7803-0067-X
DOI :
10.1109/IROS.1991.174569