When a system has two motors that control two wheels independently, we can achieve 6 types of motion in total, and accounting for forward and reverse.
The RSLK drives motors through DC signals, and it can also output PWM signals. This can help control the amount of power delivered to the motors, and it will account for the variation of speed desired.
The 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 and another trained model for obstacle detection. For the demo below I am using an audio BoosterPack for the MSP432 to drive the microphone for the MSP432, and a sensor BoosterPack.
To achieve motion through voiceFirst we need our trained model to be linked to our design and to have the desired commands. In my case, I can also use my custom designed BoosterPack for audio input.
I am using other components to communicate to another device such as a phone or tablet. We first must establish connection to the device. Wi-Fi was used for this demo. Our device will send a command to the RSLK.
Getting started with machine learning
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