Hybrid autonomy system for autonomous and automated delivery vehicle

A system comprising:

• an autonomous vehicle including one or more processors configurable to cause:
• generating, at the autonomous vehicle operating in a hybrid autonomy mode, real-time perception data using a machine learning model, the real-time perception data indicating objects that have been detected in a vicinity of the autonomous vehicle;
• generating, at the autonomous vehicle operating in the hybrid autonomy mode, an initial motion plan based, at least in part, on the real-time perception data;
• maneuvering the autonomous vehicle operating in the hybrid autonomy mode along a constrained route based on the initial motion plan without user input;
• detecting, at the autonomous vehicle operating in the hybrid autonomy mode, an alert condition from the real-time perception data;
• transmitting, by the autonomous vehicle operating in the hybrid autonomy mode to a client device, a notification corresponding to the alert condition, wherein the notification indicates a request for user input to adjust the initial motion plan;
• receiving the user input at the autonomous vehicle operating in the hybrid autonomy mode, the user input including a lateral offset;
• responsive to the user input, modifying a route via which the autonomous vehicle is traveling;
• generating, by the autonomous vehicle operating in the hybrid autonomy mode, a modified motion plan by adjusting the initial motion plan based on the user input;
• and
• updating the machine learning model based, at least in part, on the user input.

One or more non-transitory computer readable media storing instructions that, when executed, cause an autonomous vehicle to execute a method, comprising:

• generating, at the autonomous vehicle operating in a hybrid autonomy mode, real-time perception data using a machine learning model, the real-time perception data indicating objects that have been detected in a vicinity of the autonomous vehicle;
• generating, at the autonomous vehicle operating in the hybrid autonomy mode, an initial motion plan based, at least in part, on the real-time perception data;
• maneuvering the autonomous vehicle operating in the hybrid autonomy mode along a constrained route based on the initial motion plan without user input;
• detecting, at the autonomous vehicle operating in the hybrid autonomy mode, an alert condition from the real-time perception data;
• transmitting, by the autonomous vehicle operating in the hybrid autonomy mode to a client device, a notification corresponding to the alert condition, wherein the notification indicates a request for user input to adjust the initial motion plan;
• receiving the user input at the autonomous vehicle operating in the hybrid autonomy mode, the user input including a lateral offset;
• responsive to the user input, modifying a route via which the autonomous vehicle is traveling;
• generating, by the autonomous vehicle operating in the hybrid autonomy mode, a modified motion plan by adjusting the initial motion plan based on the user input;
• and
• updating the machine learning model based, at least in part, on the user input.