There are many variables that come into play when controlling an object in the freedom of space (or air).
Because of many types of movement involved there are limitations on trying to manually control an aerial vehicle without the assistance of a guiding flight controller. One of the main components that helps stabilize a flight is called the Inertial Measuring Unit, or IMU. Thanks to the IMU, a computer can estimate the axial position of a vehicle with respect to the direction of gravity and help compensate for disparities in its balance.
Understanding machine learningThe process where a computer is able to distinguish between different sets of data without being programmed to do so is called machine learning. The most valuable feature of machine learning for the purpose of this project is voice recognition. For the demo below I designed a custom BoosterPack for the MSP432.
First we need to achieve a flight through a well calibrated flight controller that is able to take off and land. This process can be automated with a sequence of commands. Then we get our trained model for voice recognition linked to a specific function.
Getting started with machine learning
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