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Control algorithms for autonomous embodied agents
Slušný, Stanislav ; Neruda, Roman (advisor) ; Kvasnička, Vladimír (referee) ; Koutník, Jan (referee)
Charles University in Prague Faculty of Mathematics and Physics DOCTORAL THESIS Mgr. Stanislav Slušný Control algorithms for autonomous embodied agents Department of Software Engineering Supervisor of the doctoral thesis: Mgr. Roman Neruda, CSc. Study programme: Computer Science Specialization: Software Engineering Prague 2014 Title: Control algorithms for autonomous embodied agents Author: Mgr. Stanislav Slušný Department: Department of Software Engineering, Faculty of Mathematics and Physics, Charles University, Prague Supervisor: Mgr. Roman Neruda, CSc., Institute of Computer Science, Academy of Sciences of the Czech Republic, Prague Abstract: This work studies control algorithms for adaptive embodied agents. The available approaches, based on neural networks, genetic algorithms and re- inforcement learning are investigated and potential improvements suggested. Ar- chitecture of adaptive embodied autonomous agents, that combines the existing reactive and deliberative paradigms, is proposed and demonstrated in a realistic simulator solving a complex real world task. The performance of a novel high-level planner based on constraint programming and finite automata is demonstrated on a practical application.
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Mobile robot control
Franěk, Dominik ; Slušný, Stanislav (advisor) ; Kudová, Petra (referee)
The goal of this work is design and realization of an autonomous mobile robot, capable of navigation and map creation, using stereoscopic camera and robotic operation system ROS. ** This is an added text for reaching minimal length needed for uploading into information system. **
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Control algorithms for autonomous embodied agents
Slušný, Stanislav ; Neruda, Roman (advisor) ; Kvasnička, Vladimír (referee) ; Koutník, Jan (referee)
Charles University in Prague Faculty of Mathematics and Physics DOCTORAL THESIS Mgr. Stanislav Slušný Control algorithms for autonomous embodied agents Department of Software Engineering Supervisor of the doctoral thesis: Mgr. Roman Neruda, CSc. Study programme: Computer Science Specialization: Software Engineering Prague 2014 Title: Control algorithms for autonomous embodied agents Author: Mgr. Stanislav Slušný Department: Department of Software Engineering, Faculty of Mathematics and Physics, Charles University, Prague Supervisor: Mgr. Roman Neruda, CSc., Institute of Computer Science, Academy of Sciences of the Czech Republic, Prague Abstract: This work studies control algorithms for adaptive embodied agents. The available approaches, based on neural networks, genetic algorithms and re- inforcement learning are investigated and potential improvements suggested. Ar- chitecture of adaptive embodied autonomous agents, that combines the existing reactive and deliberative paradigms, is proposed and demonstrated in a realistic simulator solving a complex real world task. The performance of a novel high-level planner based on constraint programming and finite automata is demonstrated on a practical application.
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Mobile robot control
Franěk, Dominik ; Slušný, Stanislav (advisor) ; Kudová, Petra (referee)
The goal of this work is design and realization of an autonomous mobile robot, capable of navigation and map creation, using stereoscopic camera and robotic operation system ROS. ** This is an added text for reaching minimal length needed for uploading into information system. **
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