This project was funded through an ARM Institute Directed Project Call with the Air Force Research Laboratory (AFRL). Directed Projects provide another method for the ARM Institute to fund projects, enable ARM Institute Members to build relationships with the Department of Defense (DoD), and facilitate collaboration between the DoD and non-traditional collaborators. These projects also outline use cases for industry, creating dual impact.
The key objective of the project is to provide a functional, agile, modular, scalable mixed reality (MR) technology stack for robotic workspace setup, robotic intent and process visualization, analysis of spatial defect capture data as well as other sensor data aligned with the correct parts of the objects. This project aims to close the key technological gaps in MR for robotics-based sustainment while providing an agile technology stack that can scale and provide MR based solutions for a multitude of sustainment use cases.
Using robotics for sustainment significantly reduces the time required for many sustainment activities, namely, spray painting, de-painting.
Using MR for object localization and registration further speeds up the processes while reducing or eliminating human errors, increase utilization of robotic booths, and create applications using digital twins for improved sustainment and operations.
Grid Raster (Principal Investigator) and Lockheed Martin Advanced Technology Labs