Kinematic Modeling Methods | for Biological and Robotic Systems. Este artículo no está disponible.
Idioma: inglés
Editorial: LAP LAMBERT Academic Publishing, 2012
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Librería: preigu, Osnabrück, Alemaniapreigu
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Descripción del artículo del vendedor
Kinematic Modeling Methods | for Biological and Robotic Systems | Mohamed Ouerfelli | Taschenbuch | 156 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659175701 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
N° de ref. del artículo 106205600
- Título
- Kinematic Modeling Methods | for Biological and Robotic Systems
- Autor
- Mohamed Ouerfelli
- Editorial
- LAP LAMBERT Academic Publishing
- Año de publicación
- 2012
- Estado
- Neu
- Encuadernación
- Taschenbuch
- Idioma
- inglés
- ISBN 10
- 3659175706
- ISBN 13
- 9783659175701
- Peso del artículo
- 250 gramos
- Dimensiones
- 220 x 150 x 10 mm
- Catálogos de vendedores
- Bücher
This book presents methods that automatically generate kinematic models for biological and robotic systems. The motivation comes from studying individuals with quadriplegia and the need to design aids such as robots and teletheses that can be controlled by head and neck movements. It is then necessary to develop mathematical models that capture the essence of the possible movements. Two methods for identification of the kinematics are developed and tested. The first method requires the elimination of the displacement variables that cannot be measured while the second method attempts to estimate the changes in these variables. Potential uses of the generated models in the design of aiding tools is also addressed.
“Sinopsis” puede pertenecer a otra edición de este título.
Reseña del editor
This book presents methods that automatically generate kinematic models for biological and robotic systems. The motivation comes from studying individuals with quadriplegia and the need to design aids such as robots and teletheses that can be controlled by head and neck movements. It is then necessary to develop mathematical models that capture the essence of the possible movements. Two methods for identification of the kinematics are developed and tested. The first method requires the elimination of the displacement variables that cannot be measured while the second method attempts to estimate the changes in these variables. Potential uses of the generated models in the design of aiding tools is also addressed.
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