I-CLIPS brain: A hybrid cognitive system for social robots

Mazzei, Daniele, Cominelli, Lorenzo, Lazzeri, Nicole, Zaraki, Abolfazl ORCID: https://orcid.org/0000-0001-6204-7865 and De Rossi, Danilo 2014. I-CLIPS brain: A hybrid cognitive system for social robots. Presented at: Living Machines: Conference on Biomimetic and Biohybrid Systems, 30 Jul - 1 Aug 2014. Biomimetic and Biohybrid Systems. Lecture Notes in Computer Science. Lecture Notes in Computer Science , vol.8608 Cham: Springer Verlag, pp. 213-224. 10.1007/978-3-319-09435-9_19

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Abstract

Sensing and interpreting the interlocutor’s social behaviours is a core challenge in the development of social robots. Social robots require both an innovative sensory apparatus able to perceive the “social and emotional world” in which they act and a cognitive system able to manage this incoming sensory information and plan an organized and pondered response. In order to allow scientists to design cognitive models for this new generation of social machines, it is necessary to develop control architectures that can be easily used also by researchers without technical skills of programming such as psychologists and neuroscientists. In this work an innovative hybrid deliberative/reactive cognitive architecture for controlling a social humanoid robot is presented. Design and implementation of the overall architecture take inspiration from the human nervous system. In particular, the cognitive system is based on the Damasio’s thesis. The architecture has been preliminary tested with the FACE robot. A social behaviour has been modeled to make FACE able to properly follow a human subject during a basic social interaction task and perform facial expressions as a reaction to the social context.

Item Type:	Conference or Workshop Item (Paper)
Status:	Published
Schools:	Engineering
Publisher:	Springer Verlag
ISBN:	978-3-319-09435-9
ISSN:	1611-3349
Last Modified:	04 Jan 2023 02:30
URI:	https://orca.cardiff.ac.uk/id/eprint/128998

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