Deployment system for additive manufacturing robot fleet

A computer-implemented method of configuring a robotic fleet with additive manufacturing capabilities, the method comprising:

• receiving a request for the robotic fleet to perform a job;
• determining a job definition data structure based on the request, wherein the job definition data structure defines a set of tasks that are to be performed in performance of the job;
• determining a robotic fleet configuration data structure corresponding to the job based on:
• the set of tasks and a fleet resource inventory that indicates a plurality of additive manufacturing systems that can be provisioned with a set of fleet resources, wherein:
• for each respective additive manufacturing system, the fleet resource inventory indicates:
• a set of three-dimensional (3D) printing requirements,
• printing instructions that define configuring an on-demand production system for 3D printing, and
• a status of the respective additive manufacturing system, and
• the robotic fleet configuration data structure assigns a set of additive manufacturing systems selected from the fleet resource inventory to one or more tasks of the set of tasks defined in the job definition data structure;
• determining a respective provisioning configuration for each respective additive manufacturing system of the one or more additive manufacturing systems based on:
• the one or more tasks to which the respective additive manufacturing system is assigned,
• the set of 3D printing requirements,
• the printing instructions, and
• the status of the respective additive manufacturing system;
• for each repsective additive manufacturing system of the one or more additive manufacturing systems, provisioning the respective additive manufacturing system based on the respective provisioning configuration and a set of provisioning rules that are accessible to an intelligence layer to ensure that provisioned additive manufacturing systems comply with the set of provisioning rules;
• deploying at least one robot operating unit of the robotic fleet to at least one specified geolocation based on the robotic fleet configuration data structure to perform the job;
• and
• deploying at least additive manufacturing system of the plurality of additive manufacturing systems to the at least one specified geolocation based on the robotic fleet configuration data structure to perform the job.

A computer-implemented method of configuring a robotic fleet with additive manufacturing capabilities, the method comprising:

• receiving a request for the robotic fleet to perform a job;
• determining a job definition data structure based on the request, wherein the job definition data structure defines a set of tasks that are to be performed in performance of the job;
• determining a robotic fleet configuration data structure corresponding to the job based on:
• the set of tasks and a fleet resource inventory that indicates a plurality of additive manufacturing systems that can be provisioned with a set of fleet resources, wherein:
• for each respective additive manufacturing system, the fleet resource inventory indicates:
• a set of three-dimensional (3D) printing requirements,
• printing instructions that define configuring an on-demand production system for 3D printing, and
• a status of the respective additive manufacturing system, and
• the robotic fleet configuration data structure assigns one or more additive manufacturing systems selected from the fleet resource inventory to one or more tasks of the set of tasks defined in the job definition data structure;
• determining a respective provisioning configuration for each respective additive manufacturing system of the one or more additive manufacturing systems based on:
• the one or more tasks to which the respective additive manufacturing system is assigned,
• the set of 3D printing requirements,
• the printing instructions, and
• the status of the respective additive manufacturing system;
• for each respective additive manufacturing system of the one or more additive manufacturing systems, provisioning the respective additive manufacturing system based on the respective provisioning configuration and a set of provisioning rules that are accessible to an intelligence layer to ensure that provisioned additive manufacturing systems comply with the set of provisioning rules, and wherein for each respective additive manufacturing system, the provisioning the respective additive manufacturing system includes provisioning a 3D printing control capability to produce an end effector based on a visual and sensed analysis of an object for manipulation of which the end effector is to be 3D printed;
• deploying at least one robot operating unit of the robotic fleet based on the robotic fleet configuration data structure to perform the job;
• and
• deploying at least one additive manufacturing system of the plurality of additive manufacturing systems based on the robotic fleet configuration data structure to perform the job.