TERESA: a socially intelligent semi-autonomous telepresence system

Kyriacos Shiarlis, Joao Messias, Maarten van Someren, Shimon Whiteson, Jaebok Kim, Jered Hendrik Vroon, Gwenn Englebienne, Khiet Phuong Truong, Noé Pérez-Higueras, Ignacio Pérez-Hurtado, Rafael Ramon-Vigo, Fernando Caballero, Luis Merino, Jie Shen, Stavros Petridis, Maja Pantic, Lasse Hedman, Marten Scherlund, Raphaël Koster, Hervé Michel

    Research output: Contribution to conferencePaperpeer-review

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    TERESA is a socially intelligent semi-autonomous telepresence system that is currently being developed as part of an FP7-STREP project funded by the European Union. The ultimate goal of the project is to deploy this system in an elderly day centre to allow elderly people to participate in social events even when they are unable to travel to the centre. In this paper, we present an overview of our progress on TERESA. We discuss the most significant scientific and technical challenges including: understanding and automatically recognizing social behaviour; defining social norms for the interaction between a telepresence robot and its users; navigating the environment while taking into account social features and constraints; and learning to estimate the social impact of the robot’s actions from multiple sources of feedback. We report on our current progress on each of these challenges, as well as our plans for future work.
    Original languageEnglish
    Number of pages6
    Publication statusPublished - 26 May 2015
    EventWorkshop on Machine Learning for Social Robotics 2015 - Seattle, United States
    Duration: 26 May 201526 May 2015


    WorkshopWorkshop on Machine Learning for Social Robotics 2015
    Country/TerritoryUnited States


    • EC Grant Agreement nr.: FP7-ICT-2013-10
    • EWI-26143
    • IR-96985
    • METIS-312670
    • EC Grant Agreement nr.: FP7/611153


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