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Breedbot: an evolutionary robotics application in digital content


Article Information:

Title:

 Breedbot: an evolutionary robotics application in digital content

Author(s):

Orazio Miglino, Onofrio Gigliotta, Michela Ponticorvo, Stefano Nolfi

Journal:

The Electronic Library

Year:

2008 

Volume:

26 

Issue:

3 

Page:

363 - 373


DOI:

10.1108/02640470810879509

Publisher:

Emerald Group Publishing Limited

Document Access:

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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:

Education, Entertainment, Evolution, Robotics

Article Type:

Research paper

References:

14 references

Article URL:

www.emeraldinsight.com/10.1108/02640470810879509

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