University of Hertfordshire

By the same authors

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

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

Standard

A flexible component-based robot control architecture for hormonal modulation of behaviour and affect. / Hickton, Luke; Lewis, Matthew; Cañamero, Lola.

Towards Autonomous Robotic Systems - 18th Annual Conference, TAROS 2017, Proceedings. ed. / Gao Yang; Saber Fallah; Yaochu Jin; Constantina Lekakou. Vol. 10454 LNAI 1. ed. Springer Verlag, 2017. p. 464-474 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10454 LNAI).

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

Harvard

Hickton, L, Lewis, M & Cañamero, L 2017, A flexible component-based robot control architecture for hormonal modulation of behaviour and affect. in G Yang, S Fallah, Y Jin & C Lekakou (eds), Towards Autonomous Robotic Systems - 18th Annual Conference, TAROS 2017, Proceedings. 1 edn, vol. 10454 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10454 LNAI, Springer Verlag, pp. 464-474, 18th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2017, Guildford, United Kingdom, 19/07/17. https://doi.org/10.1007/978-3-319-64107-2_36

APA

Hickton, L., Lewis, M., & Cañamero, L. (2017). A flexible component-based robot control architecture for hormonal modulation of behaviour and affect. In G. Yang, S. Fallah, Y. Jin, & C. Lekakou (Eds.), Towards Autonomous Robotic Systems - 18th Annual Conference, TAROS 2017, Proceedings (1 ed., Vol. 10454 LNAI, pp. 464-474). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10454 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-64107-2_36

Vancouver

Hickton L, Lewis M, Cañamero L. A flexible component-based robot control architecture for hormonal modulation of behaviour and affect. In Yang G, Fallah S, Jin Y, Lekakou C, editors, Towards Autonomous Robotic Systems - 18th Annual Conference, TAROS 2017, Proceedings. 1 ed. Vol. 10454 LNAI. Springer Verlag. 2017. p. 464-474. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-64107-2_36

Author

Hickton, Luke ; Lewis, Matthew ; Cañamero, Lola. / A flexible component-based robot control architecture for hormonal modulation of behaviour and affect. Towards Autonomous Robotic Systems - 18th Annual Conference, TAROS 2017, Proceedings. editor / Gao Yang ; Saber Fallah ; Yaochu Jin ; Constantina Lekakou. Vol. 10454 LNAI 1. ed. Springer Verlag, 2017. pp. 464-474 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Bibtex

@inproceedings{e311ff18dd174501a811419e01e0c6f6,
title = "A flexible component-based robot control architecture for hormonal modulation of behaviour and affect",
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.",
author = "Luke Hickton and Matthew Lewis and Lola Ca{\~n}amero",
note = "This document is the Accepted Manuscritpt of a paper published in Proceedings of 18th Annual Conference, TAROS 2017, Guildford, UK, July 19–21, 2017. Under embargo. Embargo end date: 20 July 2018. The final publication is available at Springer via https://link.springer.com/chapter/10.1007%2F978-3-319-64107-2_36. {\textcopyright} 2017 Springer, Cham. ; 18th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2017 ; Conference date: 19-07-2017 Through 21-07-2017",
year = "2017",
month = jul,
day = "20",
doi = "10.1007/978-3-319-64107-2_36",
language = "English",
isbn = "9783319641065",
volume = "10454 LNAI",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "464--474",
editor = "Gao Yang and Saber Fallah and Yaochu Jin and Constantina Lekakou",
booktitle = "Towards Autonomous Robotic Systems - 18th Annual Conference, TAROS 2017, Proceedings",
address = "Germany",
edition = "1",

}

RIS

TY - GEN

T1 - A flexible component-based robot control architecture for hormonal modulation of behaviour and affect

AU - Hickton, Luke

AU - Lewis, Matthew

AU - Cañamero, Lola

N1 - This document is the Accepted Manuscritpt of a paper published in Proceedings of 18th Annual Conference, TAROS 2017, Guildford, UK, July 19–21, 2017. Under embargo. Embargo end date: 20 July 2018. The final publication is available at Springer via https://link.springer.com/chapter/10.1007%2F978-3-319-64107-2_36. © 2017 Springer, Cham.

PY - 2017/7/20

Y1 - 2017/7/20

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85026767418&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-64107-2_36

DO - 10.1007/978-3-319-64107-2_36

M3 - Conference contribution

AN - SCOPUS:85026767418

SN - 9783319641065

VL - 10454 LNAI

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 464

EP - 474

BT - Towards Autonomous Robotic Systems - 18th Annual Conference, TAROS 2017, Proceedings

A2 - Yang, Gao

A2 - Fallah, Saber

A2 - Jin, Yaochu

A2 - Lekakou, Constantina

PB - Springer Verlag

T2 - 18th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2017

Y2 - 19 July 2017 through 21 July 2017

ER -