Bio-inspired Robot Localization

dc.contributor.advisor	Koziol, Scott M.
dc.contributor.author	Davis, Constance
dc.contributor.department	Electrical and Computer Engineering.	en_US
dc.contributor.schools	Honors College.	en_US
dc.date.accessioned	2017-04-27T21:59:47Z
dc.date.available	2017-04-27T21:59:47Z
dc.date.copyright	2016
dc.date.issued	2017-04-27
dc.description.abstract	This report describes neuromorphic implementations of neuroscience principles and explains how a bio-inspired inertial navigation system would facilitate in robot path planning. Robot path planning has already been implemented in various ways. However, this research will describe biology inspired methods for robot path planning that imitate the processes of the inertial navigation system in the brain. The brain performs high level computing at low power. If the same processes could be replicated on electronic circuits, then these circuits could possibly perform higher level computations at low power as well.	en_US
dc.identifier.uri	http://hdl.handle.net/2104/9927
dc.language.iso	en_US	en_US
dc.rights	Baylor University projects are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. Contact libraryquestions@baylor.edu for inquiries about permission.	en_US
dc.rights.accessrights	Worldwide access	en_US
dc.title	Bio-inspired Robot Localization	en_US
dc.type	Thesis	en_US

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