Abstract
In this paper we present the results of a preliminary study on behaviour extraction from arbitrary robotic morphologies. Our goal is to build a universal interface targeting all possible robotic morphologies. For the exploration of the capabilities of different morphologies, we focus on the self organisation of the sensorimotor loop for discovering behavioural capabilities. In this paper we briefly explain the core idea for such an interface and present preliminary results of our method together with future remarks.
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Melidis, C., Marocco, D. (2015). An Exploration on Intuitive Interfaces for Robot Control Based on Self Organisation. In: Headleand, C., Teahan, W., Ap Cenydd, L. (eds) Artificial Life and Intelligent Agents. ALIA 2014. Communications in Computer and Information Science, vol 519. Springer, Cham. https://doi.org/10.1007/978-3-319-18084-7_6
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DOI: https://doi.org/10.1007/978-3-319-18084-7_6
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