MuMMER: Socially Intelligent Human-Robot Interaction in Public Spaces

Foster, M. E. et al. (2019) MuMMER: Socially Intelligent Human-Robot Interaction in Public Spaces. In: AAAI Fall Symposium on Artificial Intelligence and Human-Robot Interaction for Service Robots in Human Environments, Arlington, Virginia, USA, 7-9 November 2019,

Abstract

In the EU-funded MuMMER project, we have developed a social robot designed to interact naturally and flexibly with users in public spaces such as a shopping mall. We present the latest version of the robot system developed during the project. This system encompasses audio-visual sensing, social signal processing, conversational interaction, perspective taking, geometric reasoning, and motion planning. It successfully combines all these components in an overarching framework using the Robot Operating System (ROS) and has been deployed to a shopping mall in Finland interacting with customers. In this paper, we describe the system components, their interplay, and the resulting robot behaviours and scenarios provided at the shopping mall.

• Item Type: Conference Proceedings
• Additional Information: This research has been partially funded by the European Union’s Horizon 2020 research and innovation program under grant agreement no. 688147 (MuMMER, http://mummer-project.eu/).
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Deshmukh, Dr Amol and Foster, Dr Mary Ellen and Craenen, Dr Bart
• Authors: Foster, M. E., Craenen, B., Deshmukh, A., Lemon, O., Bastianelli, E., Dondrup, C., Papaioannou, I., Vanzo, A., Odobez, J.-M., Canévet, O., Cao, Y., He, W., Martínez-González, A., Motlicek, P., Siegfried, R., Alami, R., Belhassein, K., Buisan, G., Clodic, A., Mayima, A., Sallami, Y., Sarthou, G., Singamaneni, P.-T., Waldhart, J., Mazel, A., Caniot, M., Niemelä, M., Heikkilä, P., Lammi, H., and Tammela, A.
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
• College/School: College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience; College of Science and Engineering > School of Computing Science
• Copyright Holders: Copyright © 2019 The Authors
• First Published: First published in Proceedings of AAAI Fall Symposium on Artificial Intelligence and Human-Robot Interaction for Service Robots in Human Environments
• Publisher Policy: Reproduced under a Creative Commons License

Related URLs

• Organisation

Project Code	Award No	Project Name	Principal Investigator	Funder's Name	Funder Ref	Lead Dept
172272		MUMMER	Mary Ellen Foster	European Commission (EC)	688147	Computing Science