Mobile Robot Control Using Self-Learning Neural Network

被引:0
|
作者
Markoski, Branko [1 ]
Vukosavljev, Sasa [1 ]
Kukolj, Dragan [1 ]
Pletl, Szilveszter [2 ,3 ]
机构
[1] Univ Novi Sad, Fac Tech Sci, Trg D Obradov 6, Novi Sad 21000, Vojvodina, Serbia
[2] Univ Szeged, Dept Informat, Szeged, Hungary
[3] Polytech Engn Coll, Dept Informat, Subotica, Serbia
关键词
mobile robot; neural network; sonars; neuro-fuzzy;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:34 / +
页数:2
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