Reservoir Computing via Quantum Recurrent Neural Networks

no code implementations • 4 Nov 2022 • Samuel Yen-Chi Chen, Daniel Fry, Amol Deshmukh, Vladimir Rastunkov, Charlee Stefanski

In this work, we approach sequential modeling by applying a reservoir computing (RC) framework to quantum recurrent neural networks (QRNN-RC) that are based on classical RNN, LSTM and GRU.

Quantum Machine Learning Time Series Prediction

MuMMER: Socially Intelligent Human-Robot Interaction in Public Spaces

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.

Motion Planning

Demonstration of the EmoteWizard of Oz Interface for Empathic Robotic Tutors

no code implementations • WS 2013 • Shweta Bhargava, Srinivasan Janarthanam, Helen Hastie, Amol Deshmukh, Ruth Aylett, Lee Corrigan, Ginevra Castellano

Dialogue Management Gesture Generation +1