Robotic process automation system trained to undertake actions with a vehicle based on user interactions with a user interface of the vehicle

A method of robotic process automation to facilitate mimicking human operation of a vehicle, the method comprising:

• tracking human interactions with a vehicle control-facilitating interface;
• recording the tracked human interactions in a robotic process automation training data structure;
• tracking vehicle operational state information of the vehicle, wherein the vehicle is controlled through the vehicle control-facilitating interface;
• recording the vehicle operational state information in the robotic process automation training data structure;
• training, through use of at least one neural network, an artificial intelligence system to operate the vehicle in a manner consistent with the human interactions based on the human interactions and the vehicle operational state information in the robotic process automation training data structure and based on feedback obtained from the robotic process automation training data structure,
• wherein the training of the artificial intelligence system further involves training the artificial intelligence system to optimize a margin of safety and to control the vehicle on behalf of a user of the vehicle, wherein the optimizing and the controlling affect at least one of:
• a route of the vehicle, a speed of the vehicle, an acceleration of the vehicle, a deceleration of the vehicle, a proximity to other vehicles along the route of the vehicle, a proximity to objects along the route of the vehicle, braking intensity, steering sensitivity, or route selection;
• and
• controlling, via the trained artificial intelligence system, the vehicle with the optimized margin of safety.