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Evolutionary Neural helicopter control

8 Views· 28 Jun 2019
Cornell_Uni
Cornell_Uni
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http://people.ece.cornell.edu/....land/courses/ece4760
The purpose of our project is to learn how to wirelessly apply a neural net learning algorithm to an indoor helicopter. Iniitially, we intended on applying horizontal position control and vertical height control using phototransistors as distance measurement devices. However, the SYMA S107 Helicopter is sensitive to weighting due to IR LED�s . As a result, we constrained our experiment to a boom. All the user has to do is start the program and it will perform runs to maintain a particular height in the quickest amount of time possible. Readouts on the controller�s fitness or performance can be provided through the UART interface and displayed on the Putty console.

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