Number of the records: 1  

Mobile robot motion planner via neural network

  1. 1.
    0359501 - ÚT 2012 RIV CZ eng C - Conference Paper (international conference)
    Krejsa, Jiří - Věchet, Stanislav
    Mobile robot motion planner via neural network.
    Engineering Mechanics 2011. Prague: Institute of Thermomechanics AS CR, v. v. i., 2011 - (Fuis, V.), s. 327-330. ISBN 978-80-87012-33-8.
    [Engineering Mechanics 2011 /17./. Svratka (CZ), 09.05.2011-12.05.2011]
    Institutional research plan: CEZ:AV0Z20760514
    Keywords : mobile robot * motion planning * neural network
    Subject RIV: JD - Computer Applications, Robotics

    Motion planning is essential for mobile robot successful navigation. There are many algorithms for motion planning under various constraints. However, in some cases the human can still do a better job, therefore it would be advantageous to create a planner based on data gathered from the robot simulation when humans do the planning. The paper presents the method of using the neural network to transfer the previously gained knowledge into the machine learning based planner. In particular the neural network task is to mimic the planner based on finite state machine. The tests proved that neural network can successfully learn to navigate in constrained environment.
    Permanent Link: http://hdl.handle.net/11104/0197282

     
     
Number of the records: 1  

  This site uses cookies to make them easier to browse. Learn more about how we use cookies.