Inventor Austin Blake set out to build a self-driving Tesla go-kart and it all started with a Radio Flyer toy car, called the Teskart. Building the go-kart part wasn’t an issue, but when it came to the self-driving technology, that required some machine learning, or more specifically, behavioral cloning.
However, before he went any further with behavioral cloning, a power wheelchair-sourced servo motor was added to turn the steering shaft, connected to a potentiometer. This allows the Arduino board to detect the current steering angle, while a motor controller adjusts it. Behavioral cloning basically trains a machine learning model to replicate behaviors by simply showing it examples via three Logitech C920 webcams. An onboard laptop is the brains of the go-kart and used for recording data, training the model as well as evaluating its performance.
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