LEARNING
Path Planning of Mobile Robots by Using Cellular Neural Networks
I. Gavriluţ, Virgil Tiponuţ, A. Gacsádi
- Year
- 2006
- Citations
- 9
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
Mobile robotMotion planningComputer scienceCellular neural networkRobotArtificial intelligenceArtificial neural networkComputer visionCellular networkRobot vision
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