information from visual and auditory systems is integrated so as to reduce the variance in localization. (2) The effects of a remapping in the relation between visual and auditory space can be predicted from a simple learning rule. (3) The temporal propagation of errors in estimating the hand

and the acoustic patterns in which they are variously overlapped. In consequence, the module causes perception of phonetic structure without translation from preliminary auditory impressions. Thus, it is comparable to such other modules as the one that enables an animal to localize sound. Peculiar to the phonetic

. In the first step, a mobile robot first explores the surrounding acoustical environment, creating evidence grid representations to localize the most influential sound sources in the auditory scene. Then in the second step, the robot investigates each potential sound source location in the environment so

Sound localization of the auditory system is useful in the industrial and military applications such as game, sonar, sound quality measurement. Two main key features that the auditory system utilizes for sound source localization are interaural intensity differences (IID’s) and interaural time

The hearing sense on a mobile robot is important because it is omnidirectional and it does not require direct line-of-sight with the sound source. Such capabilities can nicely complement vision to help localize a person or an interesting event in the environment. To do so the robot auditory system

Abstract Auditory immersion plays a significant role in generating a good feeling of presence for users driving a telepresence robot. In this paper, one of the key characteristics of auditory immersion -sound source localization (SSL) -is studied from the perspective of those who operate

Robot audition by its own ears (microphones) is essential for natural human-robot communication and interface. Since a microphone is embedded in the head of a robot, the head-related transfer function (HRTF) plays an important role in sound source localization and extraction. Usually, from binaural

towards sound-sources within its environment. We describe a system compiled using cross-correlation and auditory cues that has a lot of potential for robot soundsource localization.

Localizing sounds with different frequency and time domain characteristics in a dynamic listening environment is a challenging task that has not been explored in the field of robotics as much as other perceptual tasks. This thesis presents an integrated auditory system for a humanoid robot

Abstract — Auditory capabilities would allow small robots interacting with people to act according to vocal cues. In our recent work, we have demonstrated AUDIBLE, an auditory system capable of sound source localization, tracking and separation in real-time, using an array of eight microphones