Mobile Robot Simulation by Means of Acquired Neural Network Models

نویسندگان

  • Ten-min Lee
  • Ulrich Nehmzow
  • Roger J. Hubbold
چکیده

This paper presents experiments with a Nomad 200 mobile robot, acquiring a sensor model of a speciic environment and using this model to predict robot-environment interaction. Data obtained by operating the real robot in the real target environment is used to train a set of 16 artiicial neural networks which can later be used to model robot-environment interaction and predict the behaviour of the real robot in oo-line simulation. A number of experimental results are presented, demonstrating that this approach can be used to model sensory perception of a mobile robot, as well as to model the behaviour of a speciic robot in its target environment.

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تاریخ انتشار 1998