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Creating Visual Reactive Robot Behaviors Using Growing Neural Gas.

Gabriel J. Ferrer

Year
2014
Citations
3

Abstract

Creating reactive robot behaviors that rely solely on vi-sual input is tricky due to the well-known problems in-volved with computer vision. This paper presents a po-tential solution to this problem. The robot builds repre-sentations of its target environment using Growing Neu-ral Gas. The robot programmer then specifies its behav-ior for each learned node. This approach is shown to have the potential to be effective for simplifying robot behavior programming in an indoor environment with low-cost hardware. Programming reactive behaviors (Brooks 1986) on a robot equipped with basic sensors such as touch sensors and sonars is reasonably straightforward and well-understood. Despite considerable progress in computer vision tech-

Keywords

Computer scienceArtificial intelligenceRobotSelf-organizing mapArtificial neural networkPersonal robotProcess (computing)Mobile robotUnsupervised learningProgrammer

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