Title :
Path Planning of Mobile Robots by Using Cellular Neural Networks
Author :
Gavrilut, I. ; Tiponut, V. ; Gacsa, A.
Author_Institution :
Dept. of Electron., Oradea Univ.
Abstract :
The paper presents some vision-based algorithms for mobile robots guidance in an environment with obstacles. Cellular neural networks (CNNs) processing techniques are used here for real time motion planning to reach a fixed target. The CNN methods are considered an advantageous solution for image processing in autonomous mobile robots guidance
Keywords :
cellular neural nets; computer vision; mobile robots; path planning; autonomous mobile robot guidance; cellular neural networks; image processing; path planning; real time motion planning; vision-based algorithms; Cameras; Cellular neural networks; Convergence; Image processing; Mobile robots; Neural networks; Path planning; Pixel; Robot vision systems; Sonar; CNN; gathering; image processing; mobile robots; path planning;
Conference_Titel :
Cellular Neural Networks and Their Applications, 2006. CNNA '06. 10th International Workshop on
Conference_Location :
Istanbul
Print_ISBN :
1-4244-0639-0
Electronic_ISBN :
1-4244-0640-4
DOI :
10.1109/CNNA.2006.341613
