LEARNING
Motion planning for two mobile robots in an environment with obstacles by using cellular neural networks
I. Gavriluţ, A. Gacsádi, Laviniu Tepelea, Virgil Tiponuţ
- Year
- 2006
- Citations
- 5
Abstract
The paper presents a visual control algorithm based on images, for two mobile robots in an environment with obstacles. Cellular neural networks (CNNs) processing techniques are used here for motion planning in real time of two mobile robots moving to the same target. The algorithm can be extended for three or more robots.
Keywords
Mobile robotComputer scienceMotion planningRobotArtificial neural networkArtificial intelligenceCellular neural networkMotion (physics)Computer visionRobot control
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