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New bracket polynomials associated with the general gough-stewart parallel robot singularities

Authors :
Universitat Politècnica de Catalunya. CRG - Grup de Robòtica Computacional
Thomas, Federico
Universitat Politècnica de Catalunya. CRG - Grup de Robòtica Computacional
Thomas, Federico
Publication Year :
2023

Abstract

© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.<br />It is well known that the singularities of a Gough-Stewart platform arise when the determinant of the Plücker coordinates of the robot leg lines vanish. The direct expansion of this determinant in terms of the configuration of the moving platform leads to an intimidating algebraic expression which is difficult to organize in a manner that facilitates extracting geometric conditions for singularities to occur. The use of Grassmann-Cayley algebra has permitted expressing this determinant as a bracket polynomial which is easier to manipulate symbolically. Each monomial in this polynomial is the product of three brackets, 4×4 determinants involving the homogeneous coordinates of four leg attachments. In this paper, we show how to derive, using elementary linear algebra arguments, bracket polynomials where all brackets can be interpreted as reciprocal products between lines. Contrarily to what one might expect, these new bracket polynomials are simpler in general than those previously obtained using Grassmann-Cayley algebra.<br />This work was partially supported by the Spanish Government through project PID2020-117509GB-I00/AEI/10.13039/50110001103.<br />Peer Reviewed<br />Postprint (author's final draft)

Details

Database :
OAIster
Notes :
7 p., application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1452496933
Document Type :
Electronic Resource