A Lightweight Artificial Cognition Model for Socio-Affective Human-Robot Interaction

Andrés A. Ramírez-Duque; Alan Lindsay; Mary Ellen Foster; Ronald P. A. Petrick

doi:10.1145/3610977.3637469

A Lightweight Artificial Cognition Model for Socio-Affective Human-Robot Interaction

Andrés A. Ramírez-Duque, Alan Lindsay, Mary Ellen Foster, Ronald P. A. Petrick

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The software submission presents a fully working artificial cognition model, which controls a NAO social robot. The model was specifically designed to control a socio-affective companion robot for use in a medical setting. It was deployed using embedded hardware: a Raspberry Pi 4B and a Jetson Nano Board, and an external RGB-D camera. Based on the ROS operating system, this software package includes components for social signal processing, behaviour selection, affective behaviour rendering, and a web-based user interface. The robot's behaviours are selected by a planning system, which generates the robot's behaviours based on the state of the interaction, the progress of the medical procedure, and the user's affective state. The system has been tested in simulated environments and is currently being used in two clinics to perform a usability test and will subsequently be used to carry out a series of clinical trials.

Original language	English
Title of host publication	HRI '24: Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
Publisher	Association for Computing Machinery
Pages	929-933
Number of pages	5
ISBN (Electronic)	9798400703225
DOIs	https://doi.org/10.1145/3610977.3637469
Publication status	Published - 11 Mar 2024
Event	19th Annual ACM/IEEE International Conference on Human-Robot Interaction 2024 - Boulder, United States Duration: 11 Mar 2024 → 15 Mar 2024

Conference

Conference	19th Annual ACM/IEEE International Conference on Human-Robot Interaction 2024
Abbreviated title	HRI 2024
Country/Territory	United States
City	Boulder
Period	11/03/24 → 15/03/24

Keywords

Cognitive Architecture
Embedded Hardware
ROS
Social Robotics

ASJC Scopus subject areas

Artificial Intelligence
Human-Computer Interaction
Electrical and Electronic Engineering

Access to Document

10.1145/3610977.3637469

Cite this

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title = "A Lightweight Artificial Cognition Model for Socio-Affective Human-Robot Interaction",

abstract = "The software submission presents a fully working artificial cognition model, which controls a NAO social robot. The model was specifically designed to control a socio-affective companion robot for use in a medical setting. It was deployed using embedded hardware: a Raspberry Pi 4B and a Jetson Nano Board, and an external RGB-D camera. Based on the ROS operating system, this software package includes components for social signal processing, behaviour selection, affective behaviour rendering, and a web-based user interface. The robot's behaviours are selected by a planning system, which generates the robot's behaviours based on the state of the interaction, the progress of the medical procedure, and the user's affective state. The system has been tested in simulated environments and is currently being used in two clinics to perform a usability test and will subsequently be used to carry out a series of clinical trials.",

keywords = "Cognitive Architecture, Embedded Hardware, ROS, Social Robotics",

author = "Ram{\'i}rez-Duque, {Andr{\'e}s A.} and Alan Lindsay and Foster, {Mary Ellen} and Petrick, {Ronald P. A.}",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE Computer Society. All rights reserved.; 19th Annual ACM/IEEE International Conference on Human-Robot Interaction 2024, HRI 2024 ; Conference date: 11-03-2024 Through 15-03-2024",

year = "2024",

month = mar,

day = "11",

doi = "10.1145/3610977.3637469",

language = "English",

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Ramírez-Duque, AA, Lindsay, A, Foster, ME & Petrick, RPA 2024, A Lightweight Artificial Cognition Model for Socio-Affective Human-Robot Interaction. in HRI '24: Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction. Association for Computing Machinery, pp. 929-933, 19th Annual ACM/IEEE International Conference on Human-Robot Interaction 2024, Boulder, Colorado, United States, 11/03/24. https://doi.org/10.1145/3610977.3637469

A Lightweight Artificial Cognition Model for Socio-Affective Human-Robot Interaction. / Ramírez-Duque, Andrés A.; Lindsay, Alan; Foster, Mary Ellen et al.
HRI '24: Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction. Association for Computing Machinery, 2024. p. 929-933.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Petrick, Ronald P. A.

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AB - The software submission presents a fully working artificial cognition model, which controls a NAO social robot. The model was specifically designed to control a socio-affective companion robot for use in a medical setting. It was deployed using embedded hardware: a Raspberry Pi 4B and a Jetson Nano Board, and an external RGB-D camera. Based on the ROS operating system, this software package includes components for social signal processing, behaviour selection, affective behaviour rendering, and a web-based user interface. The robot's behaviours are selected by a planning system, which generates the robot's behaviours based on the state of the interaction, the progress of the medical procedure, and the user's affective state. The system has been tested in simulated environments and is currently being used in two clinics to perform a usability test and will subsequently be used to carry out a series of clinical trials.

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A Lightweight Artificial Cognition Model for Socio-Affective Human-Robot Interaction

Abstract

Conference

Keywords

ASJC Scopus subject areas

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