Neural network based reinforcement learning for audio–visual gaze control in human–robot interaction

S Lathuilière, B Massé, P Mesejo, R Horaud - Pattern Recognition Letters, 2019‏ - Elsevier
This paper introduces a novel neural network-based reinforcement learning approach for
robot gaze control. Our approach enables a robot to learn and to adapt its gaze control …

Reverberant sound localization with a robot head based on direct-path relative transfer function

X Li, L Girin, F Badeig, R Horaud - 2016 IEEE/RSJ International …, 2016‏ - ieeexplore.ieee.org
This paper addresses the problem of sound-source localization (SSL) with a robot head,
which remains a challenge in real-world environments. In particular we are interested in …

Deep reinforcement learning for audio-visual gaze control

S Lathuilière, B Massé, P Mesejo… - 2018 IEEE/RSJ …, 2018‏ - ieeexplore.ieee.org
We address the problem of audio-visual gaze control in the specific context of human-robot
interaction, namely how controlled robot motions are combined with visual and acoustic …

An EM method for multichannel TOA and DOA estimation of acoustic echoes

JR Jensen, U Saqib, S Gannot - 2019 IEEE Workshop on …, 2019‏ - ieeexplore.ieee.org
The time-of-arrivals (TOAs) of acoustic echoes is a prerequisite in, eg, room geometry
estimation and localization of acoustic reflectors, which can be an enabling technology for …

Form, function and etiquette–potential users' perspectives on social domestic robots

D Dereshev, D Kirk - Multimodal Technologies and Interaction, 2017‏ - mdpi.com
Social Domestic Robots (SDRs) will soon be launched en masse among commercial
markets. Previously, social robots only inhabited scientific labs; now there is an opportunity …

Gaze direction in the context of social human-robot interaction

B Massé - 2018‏ - theses.hal.science
Robots are more and more used in a social context. They are required notonly to share
physical space with humans but also to interact with them. Inthis context, the robot is …

Audio-visual analysis in the framework of humans interacting with robots

ID Gebru - 2018‏ - inria.hal.science
In recent years, there has been a growing interest in human-robot interaction (HRI), with the
aim to enable robots to naturally interact and communicate with humans. Natural interaction …

Deep Regression Models and Computer Vision Applications for Multiperson Human-Robot Interaction

S Lathuiliere - 2018‏ - theses.hal.science
In order to interact with humans, robots need to perform basic perception taskssuch as face
detection, human pose estimation or speech recognition. However, in order have a natural …

From images and sounds to face localization and tracking: a switching dynamical Bayesian framework

V Drouard - 2017‏ - theses.hal.science
In this thesis, we address the well-known problem of head-pose estimationin the context of
human-robot interaction (HRI). We accomplish this taskin a two step approach. First, we …

Neural Network Reinforcement Learning for Audio-Visual Gaze Control in Human-Robot Interaction

S Lathuilière, B Massé, P Mesejo, R Horaud - 2017‏ - hal.univ-grenoble-alpes.fr
This paper introduces a novel neural network-based reinforcement learning approach for
robot gaze control. Our approach enables a robot to learn and adapt its gaze control strategy …