MuMMER: Socially Intelligent Human-Robot Interaction in Public Spaces
Mary Ellen Foster
B. Craenen
A. Deshmukh
Oliver Lemon
E. Bastianelli
Christian Dondrup
Ioannis V. Papaioannou
Andrea Vanzo
J. Odobez
Olivier Canévet
Yuanzhouhan Cao
Weipeng He
Á. Martínez-González
P. Motlícek
Rémy Siegfried
Rachid Alami
Kathleen Belhassein
Guilhem Buisan
A. Clodic
Amandine Mayima
Yoan Sallami
Guillaume Sarthou
P. Singamaneni
Jules Waldhart
A. Mazel
Maxime Caniot
Marketta Niemelä
Päivi Heikkilä
Hanna Lammi
Antti Tammela

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.
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