MuMMER: Socially Intelligent Human-Robot Interaction in Public Spaces

September 15, 2019 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Mary Ellen Foster, Bart Craenen, Amol Deshmukh, Oliver Lemon, Emanuele Bastianelli, Christian Dondrup, Ioannis Papaioannou, Andrea Vanzo, Jean-Marc Odobez, Olivier CanΓ©vet, Yuanzhouhan Cao, Weipeng He, Angel MartΓ­nez-GonzΓ‘lez, Petr Motlicek, RΓ©my Siegfried, Rachid Alami, Kathleen Belhassein, Guilhem Buisan, AurΓ©lie Clodic, Amandine Mayima, Yoan Sallami, Guillaume Sarthou, Phani-Teja Singamaneni, Jules Waldhart, Alexandre Mazel, Maxime Caniot, Marketta NiemelΓ€, PΓ€ivi HeikkilΓ€, Hanna Lammi, Antti Tammela arXiv ID 1909.06749 Category cs.RO: Robotics Cross-listed cs.AI Citations 38 Venue arXiv.org Last Checked 6 months ago
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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