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Engineering Laboratory

Intelligent Systems Division

Projects/Programs

Displaying 1 - 25 of 38

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
Pic-From-Quad-Chart

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
Augmented intelligence

Augmented Intelligence for Manufacturing Systems (AIMS)

Ongoing
Objective To overcome existing measurement challenges via augmented intelligence, the fusion of integrated metrology, physics-based models, and artificial intelligence, to enable monitoring, diagnostics, and prognostics of manufacturing systems and their processes. Technical Idea One research
Mat_Stand_Add_Manu

Characterization of Additive Manufacturing Materials

Completed
Objective: Deliver new standardized feedstock and AM-built material characterization methods, exemplar data, and databases to accelerate the design and use of additive manufacturing parts in high-performance applications (e.g., critical parts in high-stress applications such as turbine blades or

Cybersecurity for Smart Manufacturing Systems

Completed
Manufacturers are hesitant to adopt common security technologies, such as encryption and device authentication, due to concern for potential negative performance impacts in their systems. This is exacerbated by a threat environment that has changed dramatically with the appearance of advanced

Department of Homeland Security Response Robot Performance Standards

Ongoing
The Intelligent Systems Division of the National Institute of Standards and Technology is conducting an ongoing project, sponsored by the Department of Homeland Security Science and Technology Directorate and the National Institute of Justice, to produce a comprehensive set of standard test methods

Embodied AI and Data Generation for Robotics

Ongoing
Objective To facilitate the adoption of AI-based robotic approaches in practical manufacturing scenarios by creating test methods that target AI-enabled robotic systems, evaluating the performance of AI-enabled robotic systems, and creating manufacturing-relevant and AI-centric datasets. Technical

Fundamental Measurements for Metal Additive Manufacturing

Ongoing
Objective To develop and deploy test methods and protocols, standard test artifacts, exemplar data, data processing tools, automation tools, and advanced characterization methods that address the complexity of AM, create robust measurements, and instill confidence in the metrology used in the

Grasping, Manipulation, and Contact Safety Performance of Robotic Systems

Ongoing
Objective To provide performance metrics, test methods, and associated measurement tools to support next-generation robotic systems having human-like dexterity and force control characteristics. Technical Idea The force sensing and compliance capabilities used in collaborative robots to prevent

AM Machine and Process Control Methods for Additive Manufacturing

Completed
Objective Develop algorithms, methods and standard protocols for Additive Manufacturing (AM) process control, and implement it with software and hardware tools for open control of AM systems to enable more flexible process optimization by manufacturers. What is the Technical Idea? Additively

Material Qualification

Ongoing
Objective To develop, utilize, and analyze methods of characterizing the precursor materials in additive manufacturing in both virgin and recycled states with the goal of advancing measurement science to benefit the AM community. The components of principal interest will include the rheological

Measurement Science for Additive Manufacturing Program

Ongoing
Objective To develop and deploy measurement science that will enable rapid design-to-product transformation through advances in: material characterization; in-process sensing, monitoring, and model-based optimal control; performance qualification of materials, machines, processes and parts; and end

Measurement Science for Additive Manufacturing Program - 2013

Completed
This program addresses measurements and standards necessary to develop and deploy advances in measurement science that will enable rapid design-to-product transformation; material characterization; in-process process sensing, monitoring, and model-based optimal control; performance qualification of
Measurement Science for Robotics and Autonomous Systems

Measurement Science for Robotics and Autonomous Systems

Ongoing
Objective To develop and deploy measurement science that advances manufacturing robotic system performance, collaboration, agility, autonomy, safety, and ease of implementation to enhance U.S. innovation and industrial competitiveness. Technical Idea The fundamental idea is to provide the

Metrology for AM Model Validation

Ongoing
Objective To create and openly disseminate measurement datasets, using carefully calibrated, characterized, and newly developed measurement techniques designed for the development and validation of physics-based and data-driven computational AM models and simulations. Technical Idea The project will

Metrology for Multi-Physics AM Model Validation

Completed
Objective To provide reference data for the validation of multi-physics models of metal additive manufacturing processes to enable improvement of AM process models and more rapid and predictable process development for AM production by manufacturers. What is the Technical Idea? The Metrology for

Metrology for Real-Time Monitoring of Additive Manufacturing

Completed
Objective To develop and disseminate metrology methods, tools, data, and standards applied to in-situ monitoring of AM processes, such that manufacturers and their customers can accurately and precisely determine the quality of the fabrication process and resulting parts. What is the Technical Idea

Mobility Performance of Robotic Systems

Ongoing
Objective Provide the measurement science to develop standard test methods for intelligent industrial mobility systems, including mobile and wearable robotic systems. Technical Idea This project will expand prior work on performance test methods for mobile robotic systems and wearable robots under a
autonomous vehicles view from above

NIST Automated Vehicles Program

Ongoing
Measurement science and standards are needed to support the safe and predictable operation of future automated vehicles (AVs), which have great potential to significantly impact our daily lives and improve the competitiveness of our economy. A FY22 NIST Strategic and Emerging Research Initiatives

Perception Performance of Robotic Systems

Ongoing
Objective To develop measurement science for characterizing sensing and perception system performance to reduce the risks of adopting these technologies and to advance the agility, safety, and productivity of collaborative, industrial, and mobile robots. Technical Idea Over the past 5 years, the
Performance Assessment Framework for Robotics Systems

Performance Assessment Framework for Robotic Systems

Completed
Objective: Enable manufacturers to assess and assure robot system assembly task performance by delivering a methodology and tools for characterizing and composing performance of perception, mobility, dexterity, and safety components. Technical Idea: The new technical idea is to compose assembly task
Collaborative robots

Performance of Collaborative Robot Systems

Ongoing
Objective: Deliver a suite of test methods, protocols, and information models to assess and assure that robots working collaboratively in human-robot and robot-robot teams will complete their assigned tasks safely and correctly while meeting their assembly performance objectives. Technical Idea: To