A flexible component-based robot control architecture for hormonal modulation of behaviour and affect

Luke Hickton, Matthew Lewis, Lola Cañamero

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
129 Downloads (Pure)

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.

Original languageEnglish
Title of host publicationTowards Autonomous Robotic Systems - 18th Annual Conference, TAROS 2017, Proceedings
EditorsGao Yang, Saber Fallah, Yaochu Jin, Constantina Lekakou
PublisherSpringer Nature Link
Pages464-474
Number of pages11
Volume10454 LNAI
Edition1
ISBN (Electronic)978-3-319-64107-2
ISBN (Print)9783319641065
DOIs
Publication statusPublished - 20 Jul 2017
Event18th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2017 - Guildford, United Kingdom
Duration: 19 Jul 201721 Jul 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10454 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference18th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2017
Country/TerritoryUnited Kingdom
CityGuildford
Period19/07/1721/07/17

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