LEARNING
A CNN path planning for a mobile robot in an environment with obstacles
A. Gacsádi, Teodor Maghiar, Virgil Tiponuţ
- Year
- 2003
- Citations
- 8
Abstract
In this paper a method for visual control based on images of a mobile robot in an environment with obstacles is proposed. Cellular neural networks are used here for path planning of a mobile robot, in real time.
Keywords
Mobile robotMotion planningComputer scienceArtificial intelligenceRobotPath (computing)Mobile robot navigationRobot controlComputer visionHuman–computer interaction
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