no code implementations • 18 Oct 2022 • Alan Lindsay, Andres Ramirez-Duque, Ronald P. A. Petrick, Mary Ellen Foster
We present an ongoing project that aims to develop a social robot to help children cope with painful and distressing medical procedures in a clinical setting.
no code implementations • 29 Sep 2021 • Sarthak Yadav, Mary Ellen Foster
The majority of recent work on the interpretability of audio and speech processing deep neural networks (DNNs) interprets spectral information modelled by the first layer, relying solely on visual means of interpretation.
no code implementations • 9 Oct 2020 • Mary Ellen Foster, Ronald P. A. Petrick
This paper describes a new research project that aims to develop a social robot designed to help children cope with painful and distressing medical procedures in a clinical setting.
no code implementations • 15 Sep 2019 • Mary Ellen Foster, Bart Craenen, Amol Deshmukh, Oliver Lemon, Emanuele Bastianelli, Christian Dondrup, Ioannis Papaioannou, Andrea Vanzo, Jean-Marc Odobez, Olivier Canévet, Yuanzhouhan Cao, Weipeng He, Angel Martínez-González, Petr Motlicek, Rémy Siegfried, Rachid Alami, Kathleen Belhassein, Guilhem Buisan, Aurélie Clodic, Amandine Mayima, Yoan Sallami, Guillaume Sarthou, Phani-Teja Singamaneni, Jules Waldhart, Alexandre Mazel, Maxime Caniot, Marketta Niemelä, Päivi Heikkilä, Hanna Lammi, Antti Tammela
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.