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Neurobiological Based Navigation Map Created During the SLAM Process of a Mobile Robot

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dc.contributor.author Zeno, Peter
dc.date.accessioned 2016-04-15T14:13:56Z
dc.date.available 2016-04-15T14:13:56Z
dc.date.issued 2016-04-01
dc.identifier.uri https://scholarworks.bridgeport.edu/xmlui/handle/123456789/1523
dc.description.abstract In theory, an autonomous mobile robot’s ability to navigate with greater intelligence and flexibility in a dynamic environment would be possible if its navigation system was modeled after that of biological creatures. More specifically, to create an agent that mimics neurobiological navigation cells and neural network connections as found in the hippocampus and entorhinal cortex of rodent brains. These navigation cells are the: place cells, head direction cells, boundary cells, and grid cells, as well as memory. To navigate from one waypoint to another, our mobile robot, known as ratbot, uses inspiration from place cells and head direction cells for path integration. This is accomplished through use of vectors and vector mathematics. Additionally, the ratbot uses a field programmable gate array (FPGA) to emulate grid cell functionality for environment mapping and spatial cognition. en_US
dc.language.iso en_US en_US
dc.subject Autonomous mobile robot en_US
dc.subject Field programmable gate array en_US
dc.subject Neurobiological navigation en_US
dc.title Neurobiological Based Navigation Map Created During the SLAM Process of a Mobile Robot en_US
dc.type Presentation en_US
dc.institute.department School of Engineering en_US
dc.institute.name University of Bridgeport en_US
dc.event.location Bridgeport, CT en_US
dc.event.name Faculty Research Day en_US

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