A symbolic geometric formulation of branched articulated multibody systems based on graphs and Lie groups

Juan A. Escalera, Fares J. Abu-Dakka, Mohamed Abderrahim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this article we present a symbolic closedform matrix formulation to obtain the dynamic equations of branched articulated multibody systems (AMS)s. The proposed approach uses geometric mechanics based on Screw Theory and Lie groups. Both Lagrange's and Newton-Euler's equation of motion are derived. Furthermore, the structure of the proposed set of geometric equations holds the intrinsic robot parameters explicitly arranged like symbolic matrices. The formulation is valid for any branched AMS without closed kinematic chains and whose joints have one degree of freedom (DoF) (revolute and/or prismatic). All these properties allow the use of these equations in different algorithms such as identification, simulation and control of branched AMSs like hands or humanoids. Finally, the proposed equations have been validated and verified with the multi-body simulation software package MSC=ADAMS© by computing the inverse dynamics of a two arm torso of 16 DoF.

Original languageEnglish (US)
Title of host publicationIROS 2016 - 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3018-3023
Number of pages6
ISBN (Electronic)9781509037629
DOIs
StatePublished - Nov 28 2016
Event2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2016 - Daejeon, Korea, Republic of
Duration: Oct 9 2016Oct 14 2016

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
Volume2016-November
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Other

Other2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2016
Country/TerritoryKorea, Republic of
CityDaejeon
Period10/9/1610/14/16

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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