Explauto: an open-source Python library to study autonomous exploration in developmental robotics

Author

Moulin-Frier, Clement ; Rouanet, Pierre ; Oudeyer, Pierre-Yves

Author_Institution

Flowers Team, Inria/ENSTA-Paristech, Bordeaux, France

fYear

2014

fDate

13-16 Oct. 2014

Firstpage

171

Lastpage

172

Abstract

The Explauto library provides a common platform to the Developmental Robotics community allowing the integration and comparison of various exploration strategies driving various sensorimotor learning algorithms in various simulated or robotics systems. Many other exploration strategies could be easily integrated into the library, as for example Direction Sampling [7], compression progress [4], empowerment [8] and thus be compared in a proper way on various sensorimotor systems and using various sensorimotor internal models.

Keywords

application program interfaces; control engineering computing; robots; Explauto library; compression progress strategy; developmental robotics; direction sampling strategy; empowerment strategy; open-source Python library; robot exploration strategy; sensorimotor internal models; sensorimotor learning algorithms; Computational modeling; Computer architecture; Libraries; Open source software; Predictive models; Robot sensing systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Development and Learning and Epigenetic Robotics (ICDL-Epirob), 2014 Joint IEEE International Conferences on

Conference_Location

Genoa

Type

conf

DOI

10.1109/DEVLRN.2014.6982976

Filename

6982976