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Engineering Laboratory

Intelligent Systems Division

Projects/Programs

Displaying 26 - 38 of 38
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
Human-Robot Interaction

Performance of Human-Robot Interaction

Ongoing
Objective To deliver a suite of datasets, benchmarking tools, test methods, protocols, metrics, standards, and information models to enable effective, human-robot collaboration in manufacturing, and advance interactive robot technologies to facilitate the safe and efficient teaming of people and

Precursor Material Qualification

Completed
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, size

Prognostics, Health Management, and Control (PHMC)

Ongoing
Objective: Deliver methods, protocols, and tools for robust sensing, diagnostics, prognostics, and control that enable manufacturers to respond to planned (e.g., scheduled change-overs, new productivity targets) and un-planned (e.g., faults, failures) performance changes thereby enhancing the
NIST developed test artifact for AM

Qualification for Additive Manufacturing Materials, Processes, and Parts

Completed
Objective: Develop test methods and protocols, provide reference data, and establish requirements to reduce the cost and time to qualify AM materials, processes, and parts. Technical Idea: Qualification of AM materials, processes, and parts is critical to enabling the AM industry to crack into the

Qualification for AM Feedstocks, Machines and Processes

Completed
Objective - To develop, utilize, and analyze test methods and protocols for characterizing the feedstocks, machines, and processes in metal-based additive manufacturing to enable optimum usage and to reduce the cost and time needed for qualification. What is the Technical Idea? Qualification of AM

Real-Time Monitoring and Control of Additive Manufacturing Processes

Completed
Objective: Develop process metrology, in-process sensing methods, and real-time process control approaches to maximize part quality and production throughput in Additive Manufacturing (AM). Technical Idea: Additively manufactured metal parts can have many quality issues, such as undesired pores or

Robocrane

Ongoing
The Intelligent Systems Division of the National Institute of Standards and Technology (NIST) experimented with a variety of applications for the NIST RoboCrane. The RoboCrane design utilizes the basic idea of the Stewart Platform parallel link manipulator. The unique feature of the NIST approach is
The concept of interoperability in the context of a robotic part loading and unloading example. Here, a generic bridge was developed between the ROS-Industrial and MTConnect standards

Robotic Systems Interoperability and Integration

Completed
Objective: Enable manufacturers to quickly and easily put together robotic assembly systems with human-like capabilities using interoperable components, by delivering an analysis, information model, protocol, reference implementation, test methods, and tools. Technical Idea: Making it easier for
Robotic Systems for Smart Manufacturing

Robotic Systems for Smart Manufacturing Program

Completed
Due to their inherent flexibility and reusability, robotic systems are an essential tool in strengthening U. S. manufacturing competitiveness by enabling dramatically greater responsiveness and innovation. To attain these gains, robotic systems need to be highly-capable, perceptive, dexterous, and

Trustworthy Systems, Components, and Data for Smart Manufacturing Program

Completed
OBJECTIVE: To develop and deploy advances in measurement science, standards, and test methods that enable key dimensions of trust, including performance, reliability, and security, for smart manufacturing systems, components, and data. WHAT IS THE PROBLEM? Manufacturing continually evolves as