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Learning Computer Vision using a Humanoid Robot

Jessica P. M. Vital, N. M. Fonseca Ferreira, António Valente, Vítor Filipe, Salviano Soares

Year
2019
Citations
5

Abstract

This paper presents an innovative and motivating methodology to learn vision systems using a humanoid robot, NAO robot. Vision systems are an area of growing development and interest of engineering students. This approach to learning was applied in students of Master of Electrical Engineering. The goal is to introduce students the main approaches of visual object recognition and human face recognition using computer vision techniques to be embedded in a social robot and therefore he is able to interact with human beings. NAO robot as an educational platform easy to learn how to program, and it has a high sensory ability and two cameras that can capture the images for processing.

Keywords

Humanoid robotComputer scienceRobotArtificial intelligenceSocial robotHuman–computer interactionCognitive neuroscience of visual object recognitionRobot learningMachine visionComputer vision

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