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Mobile robot control using self-learning neural network

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4 Author(s)
Branko Markoski ; Faculty of Technical Sciences, University of Novi Sad, Trg D. Obradovica 6, 21000 Novi Sad, Vojvodina - Serbia ; Sasa Vukosavljev ; Dragan Kukolj ; Szilveszter Pletl

The paper describes the concept of the navigation system for a mobile robot. The system is using a navigation algorithm based on self-learning neural network, necessary to form a movement plan for a robot. The algorithm is adapted and implemented to navigate real platform of a mobile robot equipped by two independent wheel drives, encoders and a set of short-range sonars. Navigation algorithm is placed into a PC, which is connected to mobile robot by wireless and wired links. Experiments have shown ability of collision-free navigation of mobile robot in real time.

Published in:

2009 7th International Symposium on Intelligent Systems and Informatics

Date of Conference:

25-26 Sept. 2009