Journal ArticleDOI
The derivation of general kinematic equations of spatial constrained mechanical systems with the aid of a computer
V. Brát,V. Stejskal,F. Opička +2 more
TLDR
The aim of this paper is to introduce a method that enables the mathematical model automatically with the aid of a computer using only basic information about dimensions and variables.About:
This article is published in Mechanism and Machine Theory.The article was published on 1979-01-01. It has received 5 citations till now. The article focuses on the topics: Kinematics & Computation.read more
Citations
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Journal ArticleDOI
Group-theoretical methods in manipulator kinematics and symbolic computations
TL;DR: Through the vector parametrization of the space motions, DKP and IKP take more efficient forms and this efficiency is increased by using symbolic computations.
Journal ArticleDOI
Computer-aided modelling and simulation of mechanisms and manipulators
TL;DR: Two original applications are presented: a program for modelling spatial single-loop robot arms that works as a precompiler of manipulators and reaches an automatic, symbolic, closed-form solution to the inverse position analysis, and an approach to friendly training in computer-aided mechanism design through hypertext.
Journal ArticleDOI
Generation automatique et simplification des equations litterales des systemes mecaniques articules
TL;DR: This paper presents a method of automatic generation and simplification of literal equations for modeling articulated mechanisms based both upon a formal representation leading to easy implementation on a micro-computer and a very careful design of the symbolic calculus modules constituting the software.
Journal ArticleDOI
Cranking planar mechanisms on a microcomputer
TL;DR: A new method for analyzing the motion of planar mechanisms with an arbitrary number of members and degrees of freedom using the complex vector notation introduced by Raven to derive the kinematic equations for the position, the velocity and the acceleration of the whole mechanism in matrix form.