Performance analysis of fast marching-based motion planning for autonomous mobile robots in ITER scenarios

2015 ◽  
Vol 63 ◽  
pp. 36-49 ◽  
Author(s):  
Javier V. Gómez ◽  
Alberto Vale ◽  
Santiago Garrido ◽  
Luis Moreno
Keyword(s):  
Performance Analysis ◽  
Motion Planning ◽  
Mobile Robots ◽  
Autonomous Mobile Robots ◽  
Fast Marching

Image-based motion planning for two mobile robots in an environment with obstacles by using cellular neural networks

2011 ◽  
Vol 2 (1) ◽  
pp. 45-50
Author(s):  
L. Ţepelea ◽  
I. Gavriluţ ◽  
A. Gacsádi ◽  
V. Tiponuţ
Keyword(s):  
Neural Networks ◽  
Image Processing ◽  
Parallel Computing ◽  
Motion Planning ◽  
Mobile Robots ◽  
Cellular Neural Networks ◽  
Autonomous Mobile Robots ◽  
Planning Algorithm ◽  
Images Processing ◽  
Path Planning Algorithm

Abstract The paper presents an image-based algorithm for motion-planning of two mobile robots moving to the same target in an environment with obstacles. Due to parallel computing, the Cellular Neural Networks (CNN) techniques ensure the images processing in real-time and represent an advantageous solution for autonomous mobile robots guidance. The path planning algorithm can be improved increasing the speed of image processing, using advanced type of the CNN implementation and it can be extended for three or more robots.

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