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Breedbot: an evolutionary robotics application in digital content

Orazio Miglino, Onofrio Gigliotta, Michela Ponticorvo, Stefano Nolfi

Year
2008
Citations
25

Abstract

Abstract Purpose – This paper aims to describe an integrated hardware/software system based on evolutionary robotics and its application in an edutainment context. Design/methodology/approach – The system is based on a wide variety of artificial life techniques (artificial neural networks, genetic algorithms, user‐guided evolutionary design and evolutionary robotics). A user without any computer programming skill can determine the robot's behavior in two different ways: artificial breeding or artificial evolution. Breedbot has been used as a didactic tool in teaching evolutionary biology and as a "futuristic" toy by several science centers. The digital side of Breedbot can be downloaded on the web site: www.isl.unina.it/breedbot Findings – The results in this pilot study suggest that using Breedbot in an educational context can be useful to improve learning in biology. Research limitations/implications – As this is a pilot study, one limitation is the small sample considered. The issue will be investigated further with a wider population and subject‐matter, which will also improve the Breedbot system. Practical implications – These results suggest that tools like Breedbot could be introduced into biology curricula at schools. Originality/value – The paper describes an original application in digital content and shows the importance of using such a tool in an Edutainment context. It is therefore interesting for teachers, vocational trainers and anyone involved in educational activities.

Keywords

Artificial intelligenceComputer scienceRoboticsContent (measure theory)Digital contentMultimediaRobotMathematics

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