Title :
Sound source localisation through active audition
Author :
Berglund, Erik ; Sitte, Joaquin
Author_Institution :
Inf. Technol. & Electr. Eng., Univ. of Queensland, St. Lucia, Qld., Australia
Abstract :
This paper presents a novel method for enabling a robot to determine the direction to a sound source through interacting with its environment. The method uses a new neural network, the parameter-less self-organizing map algorithm, and reinforcement learning to achieve rapid and accurate response.
Keywords :
acoustic signal detection; adaptive control; learning (artificial intelligence); robots; self-organising feature maps; active audition; neural networks; parameter-less self-organizing map algorithm; reinforcement learning; robot sensing systems; self-organizing control; sound source determination; sound source localisation; Acoustic signal detection; Auditory system; Australia; Humans; Intelligent robots; Learning; Microphones; Navigation; Neural networks; Robot sensing systems; Neural networks; Robot sensing systems; Self-organizing control;
Conference_Titel :
Intelligent Robots and Systems, 2005. (IROS 2005). 2005 IEEE/RSJ International Conference on
Print_ISBN :
0-7803-8912-3
DOI :
10.1109/IROS.2005.1545032
