@inproceedings {2024,
	title = {A Human-Robot Mutual Learning System with Affect-Grounded Language Acquisition and Differential Outcomes Training},
	booktitle = {Social Robotics. 15th International Conference, ICSR 2023, Proceedings Part II},
	volume = {LNAI 14454},
	year = {2024},
	pages = {108{\textendash}122},
	publisher = {Springer},
	organization = {Springer},
	address = {Doha, Qatar, December 3{\textendash}7, 2023},
	isbn = {978-981-99-8717-7},
	issn = {0302-9743},
	doi = {10.1007/978-981-99-8718-4},
	url = {https://doi.org/10.1007/978-981-99-8718-4},
	author = {Markelius, A. and Sj{\"o}berg, S. and Lemhaouri, Z. and Cohen, L. and Lowe, R. and Ca{\~n}amero, L.},
	editor = {Abdulaziz Al Ali and Nader Meskin and Wanyue Jiang and Shuzhi Sam Ge and John-John Cabibihan and Silvia Rossi and Hongsheng He}
}
@inproceedings {2017,
	title = {A Flexible Component-Based Robot Control Architecture for Hormonal Modulation of Behaviour and Affect},
	booktitle = {Proc. Towards Autonomous Robotic Systems 18th Annual Conference, TAROS 2017},
	series = {LNCS},
	volume = {10454},
	year = {2017},
	note = {<a href="https://link.springer.com/chapter/10.1007/978-3-319-64107-2_36">Download</a>},
	month = {07/2017},
	pages = {464{\textendash}474},
	publisher = {Springer International},
	organization = {Springer International},
	address = {Guildford, UK},
	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.},
	isbn = {978-3-319-64106-5},
	doi = {10.1007/978-3-319-64107-2_36},
	url = {https://link.springer.com/chapter/10.1007/978-3-319-64107-2_36},
	author = {Hickton, Luke and Lewis, Matthew and Lola Ca{\~n}amero},
	editor = {Gao, Yang and Fallah, Saber and Jin, Yaochu and Lekakou, Constantina}
}
@article {2016,
	title = {Outline of a sensory-motor perspective on intrinsically moral agents},
	journal = {Adaptive Behavior},
	volume = {24},
	year = {2016},
	note = {<a href="https://journals.sagepub.com/doi/10.1177/1059712316667203">Download</a>},
	pages = {306{\textendash}319 },
	publisher = {SAGE},
	abstract = {We propose that moral behaviour of artificial agents could (and should) be intrinsically grounded in their own sensory-motor experiences. Such an ability depends critically on seven types of competencies. First, intrinsic morality should be grounded in the internal values of the robot arising from its physiology and embodiment. Second, the moral principles of robots should develop through their interactions with the environment and with other agents. Third, we claim that the dynamics of moral (or social) emotions closely follows that of other non-social emotions used in valuation and decision making. Fourth, we explain how moral emotions can be learned from the observation of others. Fifth, we argue that to assess social interaction, a robot should be able to learn about and understand responsibility and causation. Sixth, we explain how mechanisms that can learn the consequences of actions are necessary for a robot to make moral decisions. Seventh, we describe how the moral evaluation mechanisms outlined can be extended to situations where a robot should understand the goals of others. Finally, we argue that these competencies lay the foundation for robots that can feel guilt, shame and pride, that have compassion and that know how to assign responsibility and blame.},
	doi = {10.1177/1059712316667203},
	url = {https://journals.sagepub.com/doi/10.1177/1059712316667203},
	author = {Christian Balkenius and Lola Ca{\~n}amero and Philip P{\"a}rnamets and Birger Johansson and Martin V Butz and Andreas Olsson}
}
@inproceedings {2009,
	title = {The Influence of Social Interaction on the Perception of Emotional Expression: A Case Study with a Robot Head},
	booktitle = {Advances in Robotics: Proc. FIRA RoboWorld Congress 2009},
	series = {Lecture Notes in Computer Science},
	volume = {5744},
	year = {2009},
	month = {08/2009},
	pages = {63{\textendash}72},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	address = {Incheon, Korea},
	abstract = {In this paper we focus primarily on the influence that socio-emotional interaction has on the perception of emotional expression by a robot. We also investigate and discuss the importance of emotion expression in socially interactive situations involving human robot interaction (HRI), and show the importance of utilising emotion expression when dealing with interactive robots, that are to learn and develop in socially situated environments. We discuss early expressional development and the function of emotion in communication in humans and how this can improve HRI communications. Finally we provide experimental results showing how emotion-rich interaction via emotion expression can affect the HRI process by providing additional information.},
	isbn = {978-3-642-03983-6},
	doi = {10.1007/978-3-642-03983-6_10},
	url = {https://link.springer.com/chapter/10.1007\%2F978-3-642-03983-6_10},
	author = {John C Murray and Lola Ca{\~n}amero and Kim A. Bard and Ross, Marina Davila and Thorsteinsson, Kate},
	editor = {Kim, Jong-Hwan and Ge, Shuzhi Sam and Vadakkepat, Prahlad and Jesse, Norbert and Al Manum, Abdullah and Puthusserypady K, Sadasivan and R{\"u}ckert, Ulrich and Sitte, Joaquin and Witkowski, Ulf and Nakatsu, Ryohei and Braunl, Thomas and Baltes, Jacky and Anderson, John and Wong, Ching-Chang and Verner, Igor and Ahlgren, David}
}
