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National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
Robot for Robotour 2009
 Doubek, Milan ; Orság, Filip (referee) ; Rozman, Jaroslav (advisor)
This paper deals with project, teoretical background and implementation of the software for autonomous mobile robot, to allow participation in Robotour 2009 competition. The robot was developed on Department of intelligent systems on Faculty of information technology Brno university of technology. The robot software is using particle filters and Monte Carlo localization.
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Pravděpodobnostní modely pro lokalizaci bezpilotního letounu testované na reálných datech
 Figura, Juraj ; Vomlelová, Marta (advisor) ; Obdržálek, David (referee)
The thesis addresses the dynamic state estimation problem for the field of robotics, particularly for unmanned aerial vehicles (UAVs). Based on data collected from an UAV, we design several probabilistic models for estimation of its state (mainly speed and rotation angles), including the configurations where one of the sensors is not available. We use Kalman filter and Particle filter and focus on learning the model parameters using EM algorithm. The EM algorithm is then adjusted with respect to non-Gaussian density of some sensor errors and modified using model complexity penalization terms for better generalization. We implement these methods in MATLAB environment and evaluate on separate datasets. We also analyze data from a ground robot and use our implementation of Particle filter for estimation of its position. Powered by TCPDF (www.tcpdf.org)
Detailed record
Robot for Robotour 2009
 Doubek, Milan ; Orság, Filip (referee) ; Rozman, Jaroslav (advisor)
This paper deals with project, teoretical background and implementation of the software for autonomous mobile robot, to allow participation in Robotour 2009 competition. The robot was developed on Department of intelligent systems on Faculty of information technology Brno university of technology. The robot software is using particle filters and Monte Carlo localization.
Detailed record

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