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Pacheco Valls, LluÃs
Luo, Ningsu Ferrer Plana, Jordi |
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This work extends a previously developed research concerning about the use of local model predictive control in differential driven mobile robots. Hence, experimental results are presented as a way to improve the methodology by considering aspects as trajectory accuracy and time performance. In this sense, the cost function and the prediction horizon are important aspects to be considered. The aim of the present work is to test the control method by measuring trajectory tracking accuracy and time performance. Moreover, strategies for the integration with perception system and path planning are briefly introduced. In this sense, monocular image data can be used to plan safety trajectories by using goal attraction potential fields | |
http://hdl.handle.net/2072/62977 | |
eng | |
Romanian Society of Control Engineering and Technical Informatics | |
Tots els drets reservats dels autors. This journal uses Open Journal Systems 2.3.8.0, which is open source journal management and publishing software developed, supported, and freely distributed by the Public Knowledge Project under the GNU General Public License | |
Robots mòbils -- Sistemes de control
Control predictiu Sistema de posicionament global Global Positioning System Mobile robots -- Control systems Predictive control Robots autònoms -- Sistemes de control Autonomous robots -- Control systems Visió artificial (Robòtica) Robot vision |
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Local model predictive control experiences with differential driven wheeled mobile robots | |
info:eu-repo/semantics/article | |
Recercat |