Abstract
We demonstrate a Spiking Neural Network (SNN) driven autonomous navigation system implemented on a robot. The neural architecture is inspired by those in nematode Caenorhabditis elegans used for thermotaxis, the behavior of tracking thermal isotherms. Our network uses light intensity as the sensor input, instead of temperature in the worm. The network is able to detect the gradations in sensor-input based on local information, and to make decisions in real time. This enables the robot to do a random search and to track specific intensity regions.
Original language | English |
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Title of host publication | 2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1905 |
Number of pages | 1 |
ISBN (Electronic) | 9781479983919 |
DOIs | |
State | Published - Jul 27 2015 |
Externally published | Yes |
Event | IEEE International Symposium on Circuits and Systems, ISCAS 2015 - Lisbon, Portugal Duration: May 24 2015 → May 27 2015 |
Publication series
Name | Proceedings - IEEE International Symposium on Circuits and Systems |
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Volume | 2015-July |
ISSN (Print) | 0271-4310 |
Conference
Conference | IEEE International Symposium on Circuits and Systems, ISCAS 2015 |
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Country/Territory | Portugal |
City | Lisbon |
Period | 05/24/15 → 05/27/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.