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Engineering Laboratory

Intelligent Systems Division

The Intelligent Systems Division develops, advances and deploys measurement science and standards to speed development, adoption, and integration of leading-edge intelligent technologies to advance U.S. manufacturing performance.

Intelligent Systems Division measurement science research programs aim to:

  • Safely increase the versatility, autonomy, and rapid re-tasking of intelligent robots and automation technologies for smart manufacturing and cyber-physical systems applications;
  • Enable real-time monitoring, control, and performance optimization of smart manufacturing systems in the factories of small, medium, and large companies; and
  • Enable rapid, agile, and cost-effective production of complex, first-to-market products through advanced manufacturing processes and equipment

The Division works closely with industry organizations to achieve these programmatic impacts through test methods and tools, publications, and timely technical contributions to broadly used manufacturing industry consensus standards.

Primary Focus Areas:

Measurement Science for Additive Manufacturing Program

Measurement Science for Robotics and Autonomous Systems Program

Advanced Manufacturing Data Infrastructure and Analytics Program

News and Updates

Projects and Programs

Additive Manufacturing Part Qualification

Completed
Objective To develop and deploy test methods and protocols, standard test artifacts, exemplar data, data processing tools, and automation tools that create robust post-process measurements and non-destructive testing to enable qualification of AM parts by manufacturers. What is the Problem? To

Advanced Machines, Monitoring, and Control for AM

Ongoing
Objective To develop, integrate, and implement real-time feedback and other cutting-edge process control techniques using advanced monitoring tools such as high-speed imaging and diffraction for single and multi-laser AM systems. Technical Idea The current methods for AM control predominantly rely

Advanced Manufacturing Data Infrastructure and Analytics Program

Ongoing
Objective The Advanced Manufacturing Data Infrastructure and Analytics (AMDIA) Program will develop and deploy measurement science to advance a data infrastructure that will improve the productivity, resiliency, and sustainability of manufacturing operations and supply chains to enhance U.S
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Agility Performance of Robotic Systems

Ongoing
Objective Deliver robot agility performance metrics, test methods, information models, datasets, combined virtual/real testbeds, and planning approaches that will enable manufacturers to more easily and rapidly reconfigure, retask, and redeploy robotic systems. Technical Idea The project is

Software

Tools and Instruments

Manufacturing Robotics Testbed

Manufacturing Robotics Testbed

The NIST manufacturing robotics test bed consists of several labs located in three buildings on the main NIST campus. Combined, these serve as a resource for

Awards