Abstract
A linear GP system has been used to solve the problem of sound localization for an autonomous humanoid robot, with two microphones as ears. To determine the angle to the sound source, an evolved program was used in a loop over a stereo sample stream, where the genetic programgets the latest sample pair plus feedback from the previous iteration as input. The precision of the evolved programs was dependent on the experimental setup. For a sawtooth wave from a fixed distance the smallest error was 8 ° When letting the distance to the same source vary the error was 23 ° For a human voice at varying distances the error was up to 41 °.
Cite
CITATION STYLE
Karlsson, R., Nordin, P., & Nordahl, M. (2000). Sound localization for a humanoid robot by means of genetic programming. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1803, pp. 65–76). Springer Verlag. https://doi.org/10.1007/3-540-45561-2_7
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