Human activity recognition is a key component for socially enabled robots to effectively and
naturally interact with humans. In this paper we exploit the fact that many human activities …

There have been significant advances in robotics, conversational AI, and spoken dialogue
systems (SDSs) over the past few years, but we still do not find social robots in public spaces …

This paper addresses a multisource localization problem with multiple unmanned aerial
vehicles equipped with appropriate sensors coordinating with each other, wherein the …

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 …

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 …

Noise generated due to the motion of a robot deteriorates the quality of the desired sounds
recorded by robot-embedded microphones. On top of that, a moving robot is also vulnerable …

A mobile robot generates significant self-induced noise, eg, by its joints and moving parts of
its body, which is referred to as ego-noise. Ego-noise is of crucial importance in robot …

New robots for teleoperation and autonomous manipulation are increasingly being
equipped with high-bandwidth accelerometers for measuring the transient vibrational cues …

Ego-noise, ie, the noise a robot causes by its own motions, significantly corrupts the
microphone signal and severely impairs the robot's capability to interact seamlessly with its …

Using pre-recorded templates to estimate and suppress the ego noise of a robot is
advantageous because this method is able to cope with the non-stationarity of this particular …