MuMMER: Socially Intelligent Human-Robot Interaction in Public Spaces
Robotics
2019-09-17 v1 Artificial Intelligence
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.
Keywords
Cite
@article{arxiv.1909.06749,
title = {MuMMER: Socially Intelligent Human-Robot Interaction in Public Spaces},
author = {Mary Ellen Foster and Bart Craenen and Amol Deshmukh and Oliver Lemon and Emanuele Bastianelli and Christian Dondrup and Ioannis Papaioannou and Andrea Vanzo and Jean-Marc Odobez and Olivier Canévet and Yuanzhouhan Cao and Weipeng He and Angel Martínez-González and Petr Motlicek and Rémy Siegfried and Rachid Alami and Kathleen Belhassein and Guilhem Buisan and Aurélie Clodic and Amandine Mayima and Yoan Sallami and Guillaume Sarthou and Phani-Teja Singamaneni and Jules Waldhart and Alexandre Mazel and Maxime Caniot and Marketta Niemelä and Päivi Heikkilä and Hanna Lammi and Antti Tammela},
journal= {arXiv preprint arXiv:1909.06749},
year = {2019}
}