- Abstract:
-
In this work, RoBat, a biomimetic sonarhead mounted on a mobile robot, is presented as a platform in which to study perception in cf-bats. After addressing the relation between bats and robots, a biologically plausible model of the cf-bat's cochlea is described. The model consists of a filterbank with an artificial neural network (ANN) connected at the end of it. The ANN is used for extracting the frequency of the received echoes. Thus, Doppler shifts, which play a fundamental role in bat navigation, can be successfully estimated. Experiments with simulated and real data show the efficiency of the system when used on a LEGO mobile robot.
- Copyright:
- 2000 by IEEE Press
-
The authors and the University of Edinburgh retain the right to reproduce and publish this paper for educational purposes.
- Links To Paper
- No links available
- Bibtex format
- @InProceedings{EDI-INF-RR-0062,
- author = {
Jose Carmena
and John Hallam
},
- title = {Estimating Doppler shift with a coarse cochlear filterbank},
- book title = {Proceedings of the IEEE/RSJ Internacional Conference on Intelligent Robots and Systems (IROS)},
- year = 2000,
- month = {Nov},
- volume = {1},
- pages = {221-226},
- }
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