Počet záznamů: 1

Comparison of Behavior-based and Planning Techniques on the Small Robot Maze Exploration Problem

  1. 1.
    0345013 - UIVT-O 2011 RIV GB eng J - Článek v odborném periodiku
    Slušný, Stanislav - Neruda, Roman - Vidnerová, Petra
    Comparison of Behavior-based and Planning Techniques on the Small Robot Maze Exploration Problem.
    Neural Networks. Roč. 23, č. 4 (2010), s. 560-567 ISSN 0893-6080.
    [ICANN 2008. International Conference on Artificial Neural Networks /18./. Prague, 03.09.2008-06.09.2008]
    Grant CEP: GA ČR GA201/08/1744
    Výzkumný záměr: CEZ:AV0Z10300504
    Klíčová slova: evolutionary robotics * neural networks * reinforcement learning * localization
    Kód oboru RIV: IN - Informatika
    Impakt faktor: 1.955, rok: 2010

    A comparison of behavior-based and planning approaches of robot control is presented in this paper. We focus on miniature mobile robotic agents with limited sensory abilities. Two reactive control mechanisms for an agent are considered—a radial basis function neural network trained by evolutionary algorithm and a traditional reinforcement learning algorithm over a finite agent state space. The control architecture based on localization and planning is compared to the former method.
    Trvalý link: http://hdl.handle.net/11104/0186393