Robot fleet resource configuration in value chain networks

A computer-implemented method for configuring robot fleet resources, the computer-implemented method being executed on a set of processors, the computer-implemented method comprising:

• receiving a job request at a job configuration system;
• determining, by the job configuration system, a set of robot tasks to be performed by robot operating units of a robot fleet based on job content associated with the job request and a first fleet objective in a set of fleet objectives, wherein the set of robot tasks includes a non-empty subset of robot tasks that are performed autonomously;
• applying, by a fleet configuration proxy service, fleet configuration services to the set of robot tasks and the job content to produce a fleet resource configuration data structure for the job request;
• activating, by a fleet intelligence layer, a set of intelligence services to produce at least one recommended robot task and associated contextual information that facilitates robot selection and task ordering in a workflow of the set of robot tasks;
• generating, by a job workflow system, the workflow by defining an order of performance of the set of robot tasks based on the fleet resource configuration data structure;
• simulating, by a workflow simulation system, performance of the job request based on the workflow and a job execution simulation environment to produce a simulation result that is used to recursively redefine one or more of the set of robot tasks, the fleet resource configuration data structure, or the workflow until the simulation result satisfies a second fleet objective of the set of fleet objectives corresponding to the job request;
• operating, by the workflow simulation system, digital twins of tasks in the set of robot tasks for determining an optimized workflow order of the set of robot tasks;
• by a job execution plan generator and in response to the simulation result satisfying the set of fleet objectives, generating a job execution plan based on the set of robot tasks, the fleet resource configuration data structure, and the workflow;
• and
• executing, by a job execution system, the job execution plan by controlling the robot operating units of the robot fleet at least partially autonomously,
• wherein a non-empty subset of the robot operating units includes robot operating units that are configured to operate fully autonomously.

A non-transitory computer-readable medium comprising processor-executable instructions for execution on a set of processors, wherein the processor-executable instructions include:

• receiving a job request at a job configuration system;
• determining, by the job configuration system, a set of robot tasks to be performed by robot operating units of a robot fleet based on job content associated with the job request and a first fleet objective in a set of fleet objectives, wherein the set of robot tasks includes a non-empty subset of robot tasks that are performed autonomously;
• applying, by a fleet configuration proxy service, fleet configuration services to the set of robot tasks and the job content to produce a fleet resource configuration data structure for the job request;
• activating, by a fleet intelligence layer, a set of intelligence services to produce at least one recommended robot task and associated contextual information that facilitates robot selection and task ordering in a workflow of the set of robot tasks;
• generating, by a job workflow system, the workflow by defining an order of performance of the set of robot tasks based on the fleet resource configuration data structure;
• simulating, by a workflow simulation system, performance of the job request based on the workflow and a job execution simulation environment to produce a simulation result that is used to recursively redefine one or more of the set of robot tasks, the fleet resource configuration data structure, or the workflow until the simulation result satisfies a second fleet objective of the set of fleet objectives corresponding to the job request;
• operating, by the workflow simulation system, digital twins of tasks in the set of robot tasks for determining an optimized workflow order of the set of robot tasks;
• by a job execution plan generator and in response to the simulation result satisfying the set of fleet objectives, generating a job execution plan based on the set of robot tasks, the fleet resource configuration data structure, and the workflow;
• and
• executing, by a job execution system, the job execution plan by controlling the robot operating units of the robot fleet at least partially autonomously,
• wherein a non-empty subset of the robot operating units includes robot operating units that are configured to operate fully autonomously.