We propose to use neural networks for simultaneous detection and localization of multiple
sound sources in human-robot interaction. In contrast to conventional signal processing …

The ability to recognize the visual focus of attention (VFOA, ie what or whom a person is
looking at) of people is important for robots or conversational agents interacting with multiple …

For a robot to interact with humans in a given environment, a key need is to understand its
environment in terms of the objects composing it, the other agents acting in it, and the …

We introduce UNDERWORLDS, a novel lightweight framework for cascading spatio-
temporal situation assessment in robotics. UNDERWORLDS allows programmers to …

Multichannel, audio processing approaches are widely examined in human–computer
interaction, autonomous robots, audio surveillance, and teleconferencing systems. The …

We present a service robot able to provide directions to people in a natural way, taking into
account and adapting to humans' perspectives. Like a human hel** someone to find their …

This paper presents the MuMMER data set, a data set for human-robot interaction scenarios
that is available for research purposes 1. It comprises 1h 29 min of multimodal recordings of …

Auditory perception is an essential part of a robotic system in Human-Robot Interaction
(HRI), and creating an artificial auditory perception system that is on par with human has …

The Visual Focus of Attention (what or whom a person is looking at) or VFOA is a
fundamental cue in non-verbal communication and plays an important role when designing …