Neural control of a mobile robot with monocular visual feedback

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.

[1]  Guanrong Chen,et al.  Introduction to random signals and applied Kalman filtering, 2nd edn. Robert Grover Brown and Patrick Y. C. Hwang, Wiley, New York, 1992. ISBN 0‐471‐52573‐1, 512 pp., $62.95. , 1992 .

[2]  S. Haykin.  Kalman Filtering and Neural Networks , 2001 .

[3]  François Chaumette,et al.  2½D visual servoing , 1999, IEEE Trans. Robotics Autom..

[4]  Danil V. Prokhorov,et al.  Simple and conditioned adaptive behavior from Kalman filter trained recurrent networks , 2003, Neural Networks.

[5]  François Chaumette,et al.  Visual servo control. II. Advanced approaches [Tutorial] , 2007, IEEE Robotics & Automation Magazine.

[6]  Jin Bae Park,et al.  A Simple Adaptive Control Approach for Trajectory Tracking of Electrically Driven Nonholonomic Mobile Robots , 2010, IEEE Transactions on Control Systems Technology.

[7]  Donald E. Kirk,et al.  Optimal control theory : an introduction , 1970 .

[8]  Peter Kuster,et al.  Nonlinear And Adaptive Control Design , 2016 .

[9]  R. Paul.  Robot manipulators : mathematics, programming, and control : the computer control of robot manipulators , 1981 .

[10]  Alexander G. Loukianov,et al.  Real-Time Discrete Neural Block Control Using Sliding Modes for Electric Induction Motors , 2010, IEEE Transactions on Control Systems Technology.

[11]  S. Hutchinson,et al.  Visual Servo Control Part II : Advanced Approaches , 2007 .

[12]  Zhong-Ping Jiang,et al.  Simultaneous tracking and stabilization of mobile robots: an adaptive approach , 2004, IEEE Transactions on Automatic Control.

[13]  Peter I. Corke,et al.  A tutorial on visual servo control , 1996, IEEE Trans. Robotics Autom..

[14]  Manolis A. Christodoulou,et al.  Adaptive Control with Recurrent High-order Neural Networks , 2000, Advances in Industrial Control.

[15]  Patrick Rives,et al.  A new approach to visual servoing in robotics , 1992, IEEE Trans. Robotics Autom..

[16]  Indra Narayan Kar,et al.  Design and implementation of an adaptive fuzzy logic-based controller for wheeled mobile robots , 2006, IEEE Transactions on Control Systems Technology.

[17]  François Chaumette,et al.  Visual servo control. I. Basic approaches , 2006, IEEE Robotics & Automation Magazine.