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https://www.um.edu.mt/library/oar/handle/123456789/91643| Title: | Double Exponential Smoothing for predictive vision based target tracking of a wheeled mobile robot |
| Authors: | Guérin, François Fabri, Simon G. Bugeja, Marvin K. |
| Keywords: | Robotics Artificial intelligence Automation Mechatronics Mobile robots Neural networks (Computer science) Tracking (Engineering) Adaptive control systems |
| Issue Date: | 2013 |
| Publisher: | IEEE |
| Citation: | Guérin, F., Fabri, S. G., & Bugeja, M. K. (2013, December). Double exponential smoothing for predictive vision based target tracking of a wheeled mobile robot. In 52nd IEEE Conference on Decision and Control (pp. 3535-3540). IEEE. |
| Abstract: | This paper describes the design of a novel nonlinear kinematic controller which allows a wheeled mobile robot to track a moving target at a given separation distance. The Double Exponential Smoothing algorithm is employed to deal with uncertainties in the measurements and to acquire a predictive estimate for the robot's relative position. This estimate is used to automatically adjust the proportional gain of the controller in order to regulate the tracking error. |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/91643 |
| Appears in Collections: | Scholarly Works - FacEngSCE |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Double_Exponential_Smoothing_for_predictive_vision_based_target_tracking_of_a_wheeled_mobile_robot.pdf Restricted Access | 1.31 MB | Adobe PDF | View/Open Request a copy |
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