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<title>Combining metric and topological navigation of simulated robots</title>
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<h1><title>Combining metric and topological navigation of simulated robots</title>


  <p><b>
Richárd Szabó</b>
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  <h2><title>Kivonat:</title>


  
    <p>Mobile robotics and robot navigation is a growing area of
    scientific research. Robot simulators are useful designing
    and analizing tools of this domain.</p>

    <p>Webots [?] is a well-known representant of
    these programs, a three-dimensional mobile robot simulator.
    Various guidance principles can be developed in C/C++ or Java
    programming language with the use of Webots controller
    programs.</p>

    <p>In this paper a short overview is given about the problems
    arising in the process of the navigation, and a short
    taxonomy is presented about the possible problem solving
    methods [?]. A brief introduction to the
    probabilistic navigation techniques concerning Kalman filter
    and expectation maximization is included with a special focus
    on occupancy grid.</p>

    <p>Formerly I presented a metric navigation method based on
    occupancy grid working in the Webots simulation environment
    [?]. As a continuation of that research I created
    an enhancement of the former processes, a hybrid
    metric-topological navigation mechanism. A topologic layer is
    introduced in the environment exploration phase replacing the
    older value iteration [?]. The
    implementation of a topologic graph of the explorable places
    using the metric map enables the robot to navigate in a more
    efficient manner. A comparison of the pure metric and the new
    hybrid methods is also given.</p>

   
  

  <h3><title>Footnotes</title>


  
    <a href=''>... Szabó</a>
    
      <p>Department of Software Technology and Methodology,
      Faculty of Informatics, Eötvös Loránd University, 1117,
      Pázmány P. s. 1/D. Budapest, Hungary. Department of History
      and Philosophy of Science, Eötvös Loránd University, 1117,
      Pázmány P. s. 1. Budapest, Hungary.</p>
    
  
  
 
  
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