Global self-localization for autonomous mobile robots using self-organizing Kohonen neural networks

2002 ◽  
Author(s):  
J.A. Janet ◽  
R. Gutierrez-Osuna ◽  
T.A. Chase ◽  
M. White ◽  
R.C. Luo
Keyword(s):  
Neural Networks ◽  
Mobile Robots ◽  
Autonomous Mobile Robots ◽  
Kohonen Neural Networks ◽  
Self Organizing

Hierarchical Control Approach for Autonomous Mobile Robots

1970 ◽  
Vol 110 (4) ◽  
pp. 101-104 ◽  
Author(s):  
T. Proscevicius ◽  
A. Bukis ◽  
V. Raudonis ◽  
M. Eidukeviciute
Keyword(s):  
Neural Networks ◽  
Fuzzy Logic ◽  
Artificial Neural Networks ◽  
Mobile Robots ◽  
Control Systems ◽  
Hierarchical Control ◽  
Autonomous Mobile Robots ◽  
Hierarchical Systems ◽  
Control Approach ◽  
Specific Management

Methods for intelligent mobile robots control which are based on principles of hierarchical control systems will be reviewed in this article. Hierarchical intelligent mobile robots are new direction for development of robotics, which have wide application perspectives. Despite increasing progress in technologies, the main problem of autonomous mobile robots development is that, they are ineffective in their control. In each of the hierarchical control levels (movement in space, problems solving and signal processing sets) will define by specific management of objectives, goals and rules. Communication and management between hierarchies are implemented by higher level of hierarchy using obtained information about the environment and lover level of hierarchy. Studies have shown that artificial neural networks, fuzzy logic are widely used for the development of the hierarchical systems. The main focus of the work is on communications in hierarchy levels, since the robot must be controlled in real time. Ill. 4, bibl. 13 (in English; abstracts in English and Lithuanian).http://dx.doi.org/10.5755/j01.eee.110.4.298

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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