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In additive manufacturing, choice of process parameters for a given material and geometry can result in porosities in the build volume, which can result in scrap.

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification.  The developed approach provides key data needed to fabricate born qualified parts.

Creating a framework (method) for bots (agents) to autonomously, in real time, dynamically divide and execute a complex manufacturing (or any suitable) task in a collaborative, parallel-sequential way without required human interaction.

Materials produced via additive manufacturing, or 3D printing, can experience significant residual stress, distortion and cracking, negatively impacting the manufacturing process.

In additive printing that utilizes multiple robotic agents to build, each agent, or “arm”, is currently limited to a prescribed path determined by the user.

This invention discusses the methodology to calibrating a multi-robot system with an arbitrary number of agents to obtain single coordinate frame with high accuracy.

Gas metal arc welding (GMAW) wire arc additive manufacturing (WAAM) processes use inert shielding to protect the weld arc during material deposition, but do not protect the trailing bead, which can lead to weld issues varying from low finish quality to diminished material prop

Technologies are described directed to reducing weld additive part distortion with spot compressions integrated into the build process. The disclosed technologies can be used to make weld additive parts with potentially better geometrical accuracy.