Abstract

In this paper, the Bayesian fusion of auditory and visual spatial cues has been implemented in a humanoid robot aiming to increase the accuracy of localization, given a situation that an audiovisual stimulus was presented. The performance of auditory and visual localization was tested under two conditions: fixation and saccade. In this experiment, we proved that saccade did greatly reduce the accuracy of auditory localization in the humanoid robot. The Bayesian model became not reliable when the results of auditory and visual localization were not reliable, particularly during saccade. During the tests, localization in two conditions (saccade onset and changing of direction of motion) has been ignored and only azimuth position has been considered.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.