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Advanced Navigation in Heterogeneous Multi-robot Systems in Outdoor Environment
Jílek, Tomáš ; Duchoň,, František (referee) ; Mazal, Jan (referee) ; Žalud, Luděk (advisor)
The doctoral thesis discusses current options for the navigation of unmanned ground vehicles with a focus on achieving high absolute compliance of the required motion trajectory and the obtained one. The current possibilities of key self-localization methods, such as global satellite navigation systems, inertial navigation systems, and odometry, are analyzed. The description of the navigation method, which allows achieving a centimeter-level accuracy of the required trajectory tracking with the above mentioned self-localization methods, forms the core of the thesis. The new navigation method was designed with regard to its very simple parameterization, respecting the limitations of the used robot drive configuration. Thus, after an appropriate parametrization of the navigation method, it can be applied to any drive configuration. The concept of the navigation method allows integrating and using more self-localization systems and external navigation methods simultaneously. This increases the overall robustness of the whole process of the mobile robot navigation. The thesis also deals with the solution of cooperative convoying heterogeneous mobile robots. The proposed algorithms were validated under real outdoor conditions in three different experiments.
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Mobile robot navigation with obstacle avoidance
Stříteský, Vladimír ; Burian, František (referee) ; Žalud, Luděk (advisor)
Thesis deals with automatic guided mobile robot focused on obstacle avoidance during ride on planned route. There are summaries of usually used obstacle detecting sensors and algorithms used for path finding. Based on this, own solution is designed. It uses waypoints changes to pass obstacle. MATLAB simulation is created for tests of new designed method. This method is implemented to real robot for real world testing. Reached goals and upgrade possibilities are summarized in bottom of thesis.
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Advanced Navigation in Heterogeneous Multi-robot Systems in Outdoor Environment
Jílek, Tomáš ; Duchoň,, František (referee) ; Mazal, Jan (referee) ; Žalud, Luděk (advisor)
The doctoral thesis discusses current options for the navigation of unmanned ground vehicles with a focus on achieving high absolute compliance of the required motion trajectory and the obtained one. The current possibilities of key self-localization methods, such as global satellite navigation systems, inertial navigation systems, and odometry, are analyzed. The description of the navigation method, which allows achieving a centimeter-level accuracy of the required trajectory tracking with the above mentioned self-localization methods, forms the core of the thesis. The new navigation method was designed with regard to its very simple parameterization, respecting the limitations of the used robot drive configuration. Thus, after an appropriate parametrization of the navigation method, it can be applied to any drive configuration. The concept of the navigation method allows integrating and using more self-localization systems and external navigation methods simultaneously. This increases the overall robustness of the whole process of the mobile robot navigation. The thesis also deals with the solution of cooperative convoying heterogeneous mobile robots. The proposed algorithms were validated under real outdoor conditions in three different experiments.
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|
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Mobile robot navigation with obstacle avoidance
Stříteský, Vladimír ; Burian, František (referee) ; Žalud, Luděk (advisor)
Thesis deals with automatic guided mobile robot focused on obstacle avoidance during ride on planned route. There are summaries of usually used obstacle detecting sensors and algorithms used for path finding. Based on this, own solution is designed. It uses waypoints changes to pass obstacle. MATLAB simulation is created for tests of new designed method. This method is implemented to real robot for real world testing. Reached goals and upgrade possibilities are summarized in bottom of thesis.
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