| Summary: | 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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