Object marking to support tasks by autonomous machines

An autonomous system used for a production process, comprising:

• at least one device configured to manipulate workpieces according to tasks for the production process, the at least one device comprising:
• a controller comprising a memory having stored thereon executable instructions, and a processor configured to execute the instructions to perform steps comprising:
• generating a world model of the autonomous system comprising data objects, wherein one or more of the data objects represent respective physical objects in the production process as a virtual representation in a simulation, wherein types of the respective physical objects comprise:
• a workspace,
• one or more workpieces in the workspace, and
• the at least one device;
• attaching semantic markers to the data objects, wherein each of the semantic markers includes information related to a skill defined as an abstract function that is to accomplish a task objective;
• setting a first set of the semantic markers to an activated state to trigger applicable skills for the data objects on a condition that the respective physical objects are currently available for a task performance;
• setting a second set of the semantic markers to a deactivated state for the data objects not to be currently manipulated according to the tasks of the production process;
• and
• controlling the at least one device to perform tasks for the production process guided by the semantic markers relying on an anticipation function with reasoning operations based on types of physical objects, types of skills, and configuration of the data objects.