6 citations · 6 across the 2 of their papers we have counts for
3 papers · 1 filter
Coping with the variability in humans reward during simulated human-robot interactions through the coordination of multiple learning strategies
Rémi Dromnelle, Benoît Girard, Erwan Renaudo +2
An important current challenge in Human-Robot Interaction (HRI) is to enable robots to learn on-the-fly from human feedback. However, humans show a great variability in the way the…
How to reduce computation time while sparing performance during robot navigation? A neuro-inspired architecture for autonomous shifting between model-based and model-free learning
Rémi Dromnelle, Erwan Renaudo, Guillaume Pourcel +3
Taking inspiration from how the brain coordinates multiple learning systems is an appealing strategy to endow robots with more flexibility. One of the expected advantages would be…
A Deep Learning Approach for Multi-View Engagement Estimation of Children in a Child-Robot Joint Attention task
Jack Hadfield, Georgia Chalvatzaki, Petros Koutras +3
In this work we tackle the problem of child engagement estimation while children freely interact with a robot in their room. We propose a deep-based multi-view solution that takes…