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Critical parts for defense, aerospace, and medical applications must be formally qualified prior to use. Currently, extensive empirical testing consisting of
Metal Laser Powder Bed Fusion Additive Manufacturing (AM) has revolutionized the manufacturing industry by directly producing functional metal components from
The Advanced Manufacturing Data Infrastructure and Analytics (AMDIA) program will lay the groundwork for advanced data infrastructure and corresponding
The application of robotics in manufacturing is hindered by their lack of agility, including their large changeover times for new tasks/products and their
The U.S. economy depends on manufacturing as a significant contributor for jobs, the nation’s economic output, and the production of goods for the world
Currently there is a significant interest in using additively manufactured parts in high-performance applications. However, due to a lack of publicly available
Develop and deploy advances in measurement science that enable key dimensions of cybersecurity for smart manufacturing systems, services, and components.
FEMA Responders often face daunting challenges during search and rescue tasks in dangerous environments. As such, the concept of including robots as a part of
Approaches categorized as “artificial intelligence” (AI) are enabling significant advances in robotics. These include symbolic logic, Bayesian statistics, and
Despite the potential quality and productivity advantages, small and medium enterprises (SMEs) have lagged in the adoption of robotic systems within their
Critical parts for defense, aerospace, and medical applications must be formally qualified prior to use. Currently, extensive empirical testing consisting of
Part quality in additive manufacturing (AM) is highly dependent on the process control, but there is a lack of adequate AM control methods and standards. In
The lack of repeatable process outcomes from additive manufacturing (AM) has been broadly acknowledged as an impediment to widespread implementation. While most
The Measurement Science for Additive Manufacturing program aims to develop and deploy advances in measurement science that will enable rapid design-to-product
To develop and deploy measurement science, standards, and test methods that advance manufacturing robotic system performance, collaboration, agility, autonomy
Multi-physics and data-driven models are necessary to simulate, study, and optimize metal additive manufacturing (AM) processes, such as powder bed fusion (PBF)
Multi-physics models are necessary to simulate, study, and optimize metal additive manufacturing (AM) processes, such as powder bed fusion (PBF) and directed
Part quality in additive manufacturing (AM) is highly variable due to inadequate dimensional tolerances, surface roughness, and defects, thereby limiting its
Mobile Robotic Systems, which include mobile bases (wheeled or legged) and onboard systems (manipulators, sensors, end effectors (tools, grippers, laser, etc.))
Building on a successful first-year Strategic and Emerging Research Initiatives (SERI) project NIST and Autonomous Vehicles (see 2022 NIST AV workshop and