This paper attempts to provide a state-of-the-art of sound source localization in robotics.
Noticeably, this context raises original constraints—eg embeddability, real time, broadband …

Sensorimotor control and learning are fundamental prerequisites for cognitive development
in humans and animals. Evidence from behavioral sciences and neuroscience suggests that …

In this paper, we consider the problem of recovering desired sound source signals from on-
board microphone recordings on a noisy drone. Enhancement of source signal degraded by …

Acoustic sensing from a multi-rotor drone is heavily degraded by the strong ego-noise
produced by the rotating motors and propellers. To address this problem, we propose a …

Autonomous systems (ASs) operating in real-world environments are exposed to a plurality
and diversity of sounds that carry a wealth of information for perception in cognitive dynamic …

Embodied Cognitive Robotics focuses its attention on the design of artificial agents capable
of performing cognitive tasks autonomously. A central issue in this consists in studying …

This paper proposes an environmental sound segmentation method using Mask U-Net. In
recent years, human–robot interactions, especially speech dialogue, have been assessed …

In this paper, we study how well human speech can automatically be filtered when this
overlaps with the voice and fan noise of a social robot, Pepper. We ultimately aim for an HRI …

In this paper, we introduce a novel approach for defect detection in hammering inspections
using Unmanned Aerial Vehicles (UAVs). Despite the promising application of UAVs for …

We propose a novel sparse representation for heavily underdetermined multichannel sound
mixtures, ie, with much more sources than microphones. The proposed approach operates …