Carrying out an application using at least one robot

A method for carrying out an application using at least one robot, the method comprising:

• repeating multiple times:
• ascertaining a stochastic value of at least one robot parameter and/or at least one environmental model parameter [associated with the application?], and
• carrying out a simulation of the application on the basis of the ascertained stochastic value;
• then
• training at least one control agent and/or at least one classification agent using the simulations by machine learning;
• performing the application using the robot;
• and
• at least one of:
• configuring a controller of the robot, by which the application is carried out wholly or in part, on the basis of the trained control agent, or
• classifying the application using the trained classification agent.

A system for carrying out an application using at least one robot, the system comprising:

• means for repeating multiple times steps of:
• ascertaining a stochastic value of at least one robot parameter and/or at least one environmental model parameter associated with the application, and
• carrying out a simulation of the application on the basis of the ascertained stochastic value;
• means for training at least one control agent and/or at least one classification agent using the simulations by machine learning;
• means for performing the application using the robot;
• and
• means for at least one of:
• configuring a controller of the robot, by which the application is carried out wholly or in part, on the basis of the trained control agent, or
• classifying the application using the trained classification agent.

A method for configuring a controller of a robot for carrying out a specified task, the method comprising:

• recording at least one robot parameter and at least one environmental model parameter;
• training an agent using at least one simulation based on the recorded robot parameters and environmental model parameters by machine learning on the basis of a specified cost function;
• and
• configuring the controller of the robot based on the trained agent.

A system for configuring a controller of a robot for carrying out a specified task, the system comprising means for:

• recording at least one robot parameter and at least one environmental model parameter;
• training an agent using at least one simulation based on the recorded robot parameters and environmental model parameters by machine learning on the basis of a specified cost function;
• and
• configuring the controller of the robot based on the trained agent.