Systems, devices, articles, and methods for creating and using trained robots with augmented reality

A computer-implemented method for training and controlling a robot, the method comprising:

• creating item information that represents a virtual item;
• compositing the item information with environment information that represents an environment accessible to the robot, to produce composited information that, at least in part, renders a representation of at least a portion of the virtual item relative to a representation of at least a portion of the environment;
• causing training of a machine learning model with at least a portion of the composited information to generate a trained machine learning model;
• and
• generating at least one output signal that includes action information representing an action for the robot to perform based, at least in part, on the trained machine learning model.

A computer-readable medium storing contents that, when executed by one or more processors, cause the one or more processors to perform actions comprising:

• creating item information that represents a virtual item;
• compositing the item information with environment information that represents an environment accessible to a robot, to produce composited information that, at least in part, renders a representation of at least a portion of the virtual item relative to a representation of at least a portion of the environment;
• causing training of a machine learning model with at least a portion of the composited information to generate a trained machine learning model;
• and
• causing generation of action information representing an action for the robot to perform based, at least in part, on the trained machine learning model.

A system comprising:

• at least one processor;
• and
• memory storing processor-executable instructions which, when executed by the at least one processor, cause the system to:
• create item information that represents a virtual item;
• composite the item information with environment information that represents an environment accessible to a robot, to produce composited information that, at least in part, renders a representation of at least a portion of the virtual item relative to a representation of at least a portion of the environment;
• cause training of a machine learning model with at least a portion of the composited information to generate a trained machine learning model;
• and
• cause generation of action information representing an action for the robot to perform based, at least in part, on the trained machine learning model.