Development of Design Tools for the Optimization of Biologically Based Control Systems

Metadata Updated: July 17, 2020

I plan to develop software that aids in the design of biomimetic control systems by optimizing the properties of the system in order to produce the desired output. Biologically based control systems offer legged vehicles an advantage over the current state of the art. Legged locomotion is the result of many complex, coordinated movements throughout the body, and requires a control system just as complex to produce useful propulsion. Designing such a system from scratch, however, is not easily done without quantification and optimization. Our group has produced some promising legged robot controllers composed of simulated neurons and synapses in a design based on an animal system, but in order to achieve the coordination and adaptability of an actual organism in a particular robot, the properties of each neuron, synapse, and muscle must be tuned. Therefore, if a reliable biologically based control system is to be developed, the entire system, neural and mechanical, must be optimized.

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Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Metadata Created Date August 1, 2018
Metadata Updated Date July 17, 2020

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Harvested from NASA Data.json

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Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date July 17, 2020
Publisher Space Technology Mission Directorate
Unique Identifier TECHPORT_11543
Public Access Level public
Bureau Code 026:00
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Metadata Catalog ID
Schema Version
Catalog Describedby
Harvest Object Id 02688416-3abf-4335-b746-da0e2124f5c1
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2016-10-01
Homepage URL
Data Last Modified 2020-01-29
Program Code 026:027
Source Datajson Identifier True
Source Hash ccdbd3ea128d441c23de14b1b4416000c22ff61e
Source Schema Version 1.1

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