DocumentCode :
133806
Title :
Neural control of a mobile robot with monocular visual feedback
Author :
Lopez-Franco, Carlos ; Lopez-Franco, Michel ; Sanchez, Edgar N. ; Alanis, Alma Y.
Author_Institution :
CS Dept., Univ. of Guadalajara, Guadalajara, Mexico
fYear :
2014
fDate :
3-7 Aug. 2014
Firstpage :
561
Lastpage :
566
Abstract :
In this paper a neural identification approach is used to estimate the parameters of a mobile robot with nonholonomic constraints. Then an inverse optimal control is designed for its control. In order to take in account the environment of the robot, a monocular visual sensor is mounted on the robot to estimate the velocities for the controller. Simulations results show the effectiveness of the proposed neural controller.
Keywords :
control system synthesis; mobile robots; neurocontrollers; optimal control; parameter estimation; inverse optimal control design; mobile robot; monocular visual feedback; monocular visual sensor; neural controller; neural identification approach; nonholonomic constraints; parameter estimation; velocity estimation; Cameras; Mobile robots; Optimal control; Robot vision systems; Visualization; Wheels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
World Automation Congress (WAC), 2014
Conference_Location :
Waikoloa, HI
Type :
conf
DOI :
10.1109/WAC.2014.6936045
Filename :
6936045
Link To Document :
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