An automated additive manufacturing production (AAMP) system includes one or more AAMP system stations disposed in an environment and configured to perform one or more AAMP routines, where each AAMP system station from among the one or more AAMP system stations includes a door. The AAMP system includes one or more robots configured to autonomously travel within the environment and a controller comprising an application program interface (API) configured to communicably couple the one or more robots and the one or more AAMP system stations, where the one or more robots are configured to command, via the API, the one or more AAMP system stations to selectively position the door and initiate the one or more AAMP routines.

Techniques and systems for performing a perception analysis for a robotic stowing operation are described. An example technique includes obtaining, via multiple sensors, multiple first images, wherein each first image is an image of a different container of an inventory holder within a robotic workcell. A first machine learning (ML) and image processing pipeline is performed with the first images to determine displacement locations for the containers of the inventory holder. A second ML and image processing pipeline is performed with the first images to determine content signatures for the containers. A plan is generated for stowing a first item into a first container, based at least in part on the plurality of content signatures and the plurality of displacement locations. A robotic apparatus is controlled to stow the first item into the first container, based on the plan.