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Related Experiment Video

Updated: Apr 4, 2026

An Automated System for Sound Localization Testing in Hearing-Impaired Listeners
07:56

An Automated System for Sound Localization Testing in Hearing-Impaired Listeners

Published on: March 13, 2026

106

Information-Driven Active Audio-Visual Source Localization.

Niclas Schult1, Thomas Reineking1, Thorsten Kluss1

  • 1Cognitive Neuroinformatics, Bremen University, Bremen, Germany.

Plos One
|September 2, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a mobile robot system for locating sound and visual sources using audio-visual data. The robot moves to gather information, efficiently pinpointing source locations with high accuracy.

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Area of Science:

  • Robotics
  • Sensorimotor Systems
  • Artificial Intelligence

Background:

  • Accurate source localization is crucial for mobile robot navigation and interaction.
  • Integrating audio-visual information enhances localization robustness in complex environments.
  • Mobile robots require efficient strategies for active information gathering.

Purpose of the Study:

  • To develop and evaluate a sensorimotor system for audio-visual source localization on a mobile robot.
  • To enable precise estimation of source position (azimuth and distance) by leveraging robot mobility.
  • To implement an information gain mechanism for efficient action selection.

Main Methods:

  • Utilized a particle filter for fusing audio-visual data and temporal integration.
  • Employed an information gain mechanism for selecting informative robot movements.
  • Integrated sensorimotor control for active source localization.

Main Results:

  • The system achieved accurate and precise source position estimates in azimuth and distance.
  • The information gain mechanism efficiently minimized the number of actions required.
  • The approach demonstrated effectiveness in complex and cluttered environments.

Conclusions:

  • The proposed system offers an efficient solution for audio-visual source localization using mobile robots.
  • Robot mobility and active information gain are key to precise localization.
  • The system is well-suited for applications in dynamic and challenging environments.