• DocumentCode
    2804523
  • 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
  • fYear
    1991
  • fDate
    3-5 Nov 1991
  • Firstpage
    745
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/IROS.1991.174569
  • Filename
    174569