Robust solutions for a robotic manipulator optimization problem

dc.contributor.author	Soto R.
dc.contributor.author	Caro S.
dc.contributor.author	Crawford B.
dc.contributor.author	Monfroy E.
dc.date.accessioned	2020-09-02T22:28:38Z
dc.date.available	2020-09-02T22:28:38Z
dc.date.issued	2013
dc.identifier	10.1007/978-3-642-38622-0_47
dc.identifier.citation	7931 LNCS, PART 2, 451-460
dc.identifier.issn	03029743
dc.identifier.uri	https://hdl.handle.net/20.500.12728/6281
dc.description	In robotics, pose errors are known as positional and rotational errors of a given mechanical system. Those errors are commonly produced by the so-called joint clearances, which are the play between pairing elements. Predicting pose errors can be done via the formulation of two optimization models holding continuous domains, which belong to the NP-Hard class of problems. In this paper, we focus on the use of constraint programming in order to provide rigorous and reliable solution to this problem. © 2013 Springer-Verlag.
dc.language.iso	en
dc.title	Robust solutions for a robotic manipulator optimization problem
dc.type	Conference Paper

Repositorio Académico