Solving the inverse kinematics problem symbolically by means of knowledge-based and linear algebra-based methods
The construction of kinematics models by hand is often a tedious and error-prone process. This paper presents an overview of the Organic Robot Control project. One main goal of the project is to automate the computation of closed-formed solutions for both the forward and inverse kinematics of genera...
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Published in | 2007 IEEE Conference on Emerging Technologies and Factory Automation (EFTA 2007) pp. 1346 - 1353 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.09.2007
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Subjects | |
Online Access | Get full text |
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Summary: | The construction of kinematics models by hand is often a tedious and error-prone process. This paper presents an overview of the Organic Robot Control project. One main goal of the project is to automate the computation of closed-formed solutions for both the forward and inverse kinematics of general industrial manipulators. For simple manipulator geometries, we use rule-based programming techniques to obtain a closed-form solution. For complicated geometries, we use elimination techniques based on the computation of Groebner basis. In so doing we convert a complicated coupled transcendental set of kinematics equations into a univariate polynomial. This polynomial can much easier be solved. The generated analytic models fulfill real time requirements and can be parallelized very well. |
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ISBN: | 9781424408252 1424408253 |
ISSN: | 1946-0740 1946-0759 |
DOI: | 10.1109/EFTA.2007.4416937 |