State-of-the-art in stochastic joint geometry modeling

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Authors: H. S. Pinnaduwa, W. Kulatilake
Cited by: 0

Abstract

This paper surveys the published literature in stochastic joint geometry modeling. The review covers materials published through middle of 1987. It is mainly intended as a point of access to the literature. The paper also provides strengths and weaknesses of the available techniques to model the joint geometry parameters. The areas where future research efforts should be focussed are summarized in the ’Conclusions.

Fields of Study & Subjects

Robotic Mechanisms and Dynamics Dynamics and Control of Mechanical Systems Control Systems and Identification

Publication details

Journal / source
CRC Press eBooks
Pages
215–229
Publication date
13 February 2026
Language
EN
Document type
Book chapter