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Engineering Laboratory /Intelligent Systems Division

Cognition and Collaboration Systems Group

The Cognition and Collaboration Systems group develops, advances, and deploys measurement science in knowledge representation, reasoning, and planning for intelligent systems used in manufacturing and construction applications. The group also carries out mission-related measurement science research and services to advance human interactions with intelligent machines, ranging from teleoperation and shared autonomy to fully autonomous behaviors

News and Updates

Projects and Programs

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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

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
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

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

Publications

Standards and Performance Metrics for On-Road Automated Vehicles

Author(s)
Craig I. Schlenoff, Zeid Kootbally, Prem Rachakonda, Suzanne Lightman, Apostol Vassilev, David A. Wollman, Edward Griffor
On September 5–8, 2023, the National Institute of Standards and Technology (NIST) held the second Standards and Performance Metrics for On‐Road Automated

Awards