Skip to Main content Skip to Navigation
Conference papers

Robust solutions for a robotic manipulator optimization problem

Abstract : In robotics, pose errors are known as positional and rota-tional 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.
Document type :
Conference papers
Complete list of metadata

Cited literature [17 references]  Display  Hide  Download

https://hal.inria.fr/hal-00875554
Contributor : Eric Monfroy <>
Submitted on : Thursday, July 4, 2019 - 10:02:38 AM
Last modification on : Tuesday, January 5, 2021 - 4:26:23 PM

File

IWINAC2013_Soto_Caro_Crawford_...
Files produced by the author(s)

Identifiers

Citation

Ricardo Soto, Stéphane Caro, Broderick Crawford, Eric Monfroy. Robust solutions for a robotic manipulator optimization problem. The 5th International Work-Conference on the Interplay Between Natural and Artificial Computation, Jun 2013, Mallorca, Spain. pp.451-460, ⟨10.1007/978-3-642-38622-0_47⟩. ⟨hal-00875554⟩

Share

Metrics

Record views

637

Files downloads

363