MuMMER: Socially Intelligent Human-Robot Interaction in Public Spaces
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Abstract (arXiv)
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.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 15 Sep 2019.
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Citing papers per year: 2022: 1; 2023: 2; 2024: 1.
4 papers.
- 2023Multi-party Goal Tracking with LLMs: Comparing Pre-training, Fine-tuning, and Prompt Engineeringcited by 14
- 2023Detecting agreement in multi-party dialogue: evaluating speaker diarisation versus a procedural baseline to enhance user engagementcited by 1
- 2024Socially Pertinent Robots in Gerontological Healthcarecited by 1
- 2022AI-HRI Brings New Dimensions to Human-Aware Design for Human-Aware AIcited by 0
- 2024Socially Pertinent Robots in Gerontological Healthcare11 Apr 2024
- 2023Detecting agreement in multi-party dialogue: evaluating speaker diarisation versus a procedural baseline to enhance user engagement6 Nov 2023
- 2023Multi-party Goal Tracking with LLMs: Comparing Pre-training, Fine-tuning, and Prompt Engineering29 Aug 2023
- 2022AI-HRI Brings New Dimensions to Human-Aware Design for Human-Aware AI21 Oct 2022