a simple mapping methodology of gait biomechanics for walking control of a biped robot
This research presents a simple mapping methodology for gait biomechanics of a human being into joint angles of a 10 degrees of freedom (DOF) biped robot. The joint angles are mapped by considering the zero moment point (ZMP) criterion. The walking control of the robot is performed by an optimal sta...
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Institute of Electrical and Electronics Engineers Inc.
2019
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Acceso en línea: | http://dspace.ucuenca.edu.ec/handle/123456789/31930 https://www.scopus.com/record/display.uri?eid=2-s2.0-85058030370&doi=10.1109%2fINTERCON.2018.8526395&origin=inward&txGid=ef910d36df5d1dcb6806c4980521a139 |
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oai:localhost:123456789-319302019-03-12T09:13:39Z a simple mapping methodology of gait biomechanics for walking control of a biped robot Minchala Avila, Luis Ismael Astudillo Salinas, Darwin Fabian Vazquez Rodas, Andres Marcelo Astudillo Salinas, Darwin Fabian Biped control gait robot This research presents a simple mapping methodology for gait biomechanics of a human being into joint angles of a 10 degrees of freedom (DOF) biped robot. The joint angles are mapped by considering the zero moment point (ZMP) criterion. The walking control of the robot is performed by an optimal state feedback controller. The walking trajectories are planned in the sagittal plane, and they are generated in compliance with the ZMP of the robot - keeping the robot within the support polygon - by dividing the control process in two stages: unique support and double support. A linear inverted pendulum model (LIPM) is used as an approximate single mass model of the robot during gait. Results of this research include simulation-based analysis and real-time implementation results, which show accurate robot movements with limited robustness under slippery platforms. © 2018 IEEE. This research presents a simple mapping methodology for gait biomechanics of a human being into joint angles of a 10 degrees of freedom (DOF) biped robot. The joint angles are mapped by considering the zero moment point (ZMP) criterion. The walking control of the robot is performed by an optimal state feedback controller. The walking trajectories are planned in the sagittal plane, and they are generated in compliance with the ZMP of the robot - keeping the robot within the support polygon - by dividing the control process in two stages: unique support and double support. A linear inverted pendulum model (LIPM) is used as an approximate single mass model of the robot during gait. Results of this research include simulation-based analysis and real-time implementation results, which show accurate robot movements with limited robustness under slippery platforms. © 2018 IEEE. Lima 2019-02-06T16:54:54Z 2019-02-06T16:54:54Z 2018 info:eu-repo/semantics/ARTÍCULO DE CONFERENCIA 978-153865490-3 0000-0000 http://dspace.ucuenca.edu.ec/handle/123456789/31930 https://www.scopus.com/record/display.uri?eid=2-s2.0-85058030370&doi=10.1109%2fINTERCON.2018.8526395&origin=inward&txGid=ef910d36df5d1dcb6806c4980521a139 10.1109/INTERCON.2018.8526395 es_ES instname:Universidad de Cuenca reponame:Repositorio Digital de la Universidad de Cuenca info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/3.0/ec/ Institute of Electrical and Electronics Engineers Inc. Proceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018 info:eu-repo/date/embargoEnd/2050-12-19 info:eu-repo/semantics/Versión publicada |
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info:eu-repo/semantics/ARTÍCULO DE CONFERENCIA |
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Biped control gait robot |
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Biped control gait robot Minchala Avila, Luis Ismael Astudillo Salinas, Darwin Fabian Vazquez Rodas, Andres Marcelo a simple mapping methodology of gait biomechanics for walking control of a biped robot |
description |
This research presents a simple mapping methodology for gait biomechanics of a human being into joint angles of a 10 degrees of freedom (DOF) biped robot. The joint angles are mapped by considering the zero moment point (ZMP) criterion. The walking control of the robot is performed by an optimal state feedback controller. The walking trajectories are planned in the sagittal plane, and they are generated in compliance with the ZMP of the robot - keeping the robot within the support polygon - by dividing the control process in two stages: unique support and double support. A linear inverted pendulum model (LIPM) is used as an approximate single mass model of the robot during gait. Results of this research include simulation-based analysis and real-time implementation results, which show accurate robot movements with limited robustness under slippery platforms. © 2018 IEEE. |
author2 |
Astudillo Salinas, Darwin Fabian |
author_facet |
Astudillo Salinas, Darwin Fabian Minchala Avila, Luis Ismael Astudillo Salinas, Darwin Fabian Vazquez Rodas, Andres Marcelo |
author |
Minchala Avila, Luis Ismael Astudillo Salinas, Darwin Fabian Vazquez Rodas, Andres Marcelo |
author_sort |
Minchala Avila, Luis Ismael |
title |
a simple mapping methodology of gait biomechanics for walking control of a biped robot |
title_short |
a simple mapping methodology of gait biomechanics for walking control of a biped robot |
title_full |
a simple mapping methodology of gait biomechanics for walking control of a biped robot |
title_fullStr |
a simple mapping methodology of gait biomechanics for walking control of a biped robot |
title_full_unstemmed |
a simple mapping methodology of gait biomechanics for walking control of a biped robot |
title_sort |
simple mapping methodology of gait biomechanics for walking control of a biped robot |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2019 |
url |
http://dspace.ucuenca.edu.ec/handle/123456789/31930 https://www.scopus.com/record/display.uri?eid=2-s2.0-85058030370&doi=10.1109%2fINTERCON.2018.8526395&origin=inward&txGid=ef910d36df5d1dcb6806c4980521a139 |
_version_ |
1635523741934944256 |
score |
11,871979 |