Abstract
In this paper we present the foundations of an architecture that will support the wider context of our work, which is to explore the link between affect, perception and behaviour from an embodied perspective and assess their relevance to Human Robot Interaction (HRI). Our approach builds upon existing affect-based architectures by combining artificial hormones with discrete abstract components that are designed with the explicit consideration of influencing, and being receptive to, the wider affective state of the robot.
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Luke Hickton is supported by a PhD studentship of the University of Hertfordshire.
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Hickton, L., Lewis, M., Cañamero, L. (2017). A Flexible Component-Based Robot Control Architecture for Hormonal Modulation of Behaviour and Affect. In: Gao, Y., Fallah, S., Jin, Y., Lekakou, C. (eds) Towards Autonomous Robotic Systems. TAROS 2017. Lecture Notes in Computer Science(), vol 10454. Springer, Cham. https://doi.org/10.1007/978-3-319-64107-2_36
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