Cooperative Agreement 70NANB24H119
- This Cooperative Agreement award from the National Institute of Standards and Technology (NIST) under the Measurement and Engineering Research and Standards program (CFDA 11.609) provides $198,000.00 to Carnegie Mellon University to develop methods for the validation and deployment of AI-powered robots in manufacturing applications. The key products and services to be delivered include: Development of an AI robotic information system with a generative simulation framework to automatically...
- This Project Grant award, valued at $225,509.00, was provided by the National Institute of Standards and Technology (NIST) under the Measurement and Engineering Research and Standards (CFDA 11.609) Federal Grant Program. The purpose of this award is to develop novel motion planning and control algorithms that can optimize physical interactions for improved robotic manufacturing capabilities. Key activities include creating adaptive motion and task-level controllers that can compliantly execute...
- This $1,235,863 cooperative agreement awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of an AI-driven system to automate part identification and measurement on coordinate measuring machines (CMMs). The project aims to transform manufacturing inspection processes by reducing manual intervention, minimizing errors, and increasing throughput. This innovation has the potential to lower manufacturing...
- This $116,985 Project Grant award from the National Institute of Standards and Technology (NIST) under the Measurement and Engineering Research and Standards (CFDA 11.609) program supports the development of new methods for rapidly assessing the absolute accuracy of robotic manipulators within their workspaces. The key activities include: Developing new sampling methodologies to efficiently explore a robot's workspace and improve its position and orientation accuracies; determining the optimal...
- This Project Grant award from the National Institute of Standards and Technology (NIST) under the Measurement and Engineering Research and Standards (CFDA 11.609) Federal Grant Program provides $167,999 to the University of Massachusetts Lowell to develop machine learning training datasets and algorithms for manufacturing-focused grasp planning and object pose estimation. The key objectives are to gather information on machine learning tools to streamline robot programming, expand on a prior...
- The National Institute of Standards and Technology (NIST) awarded a $118,000 Cooperative Agreement under the Measurement and Engineering Research and Standards (CFDA 11.609) program to Virginia Polytechnic Institute & State University (Virginia Tech). The purpose of this grant is to develop key innovations in data quality assurance methodology for robotics anomaly detection problems based on AI-model-enhanced multimodal data fusion machine learning. The research aims to significantly lower...
- This federal Project Grant award, provided by the National Institute of Standards and Technology (NIST) under the Measurement and Engineering Research and Standards (CFDA 11.609) program, is for the establishment of the CMU/NIST AI Measurement Science & Engineering Cooperative Research Center (AIMSEC). The $6,000,000 grant, awarded on October 1, 2024, aims to facilitate collaborative research and experimentation to advance the nation's capability for test and evaluation of modern AI...
- This federal Project Grant award of $300,000.00 from the National Institute of Standards and Technology (NIST) under the Measurement and Engineering Research and Standards (CFDA 11.609) program will fund research on how large language model (LLM) interfaces can support the capabilities of cybersecurity professionals, from novice to experienced. The research will be conducted by the University of Maryland, College Park and aims to: 1) understand how cybersecurity professionals currently use AI...
- This $231,000 Cooperative Agreement, awarded by the National Institute of Standards and Technology (NIST) under the Measurement and Engineering Research and Standards (CFDA 11.609) program, aims to gather information on the current and emerging landscape of AI systems for forensic science applications. The prime recipient, Apco Worldwide LLC, will conduct a comprehensive research effort involving literature reviews, news and social media analysis, community surveys, and focus groups. The key...
- This Cooperative Agreement, valued at $699,999.80, was awarded by the National Institute of Standards and Technology (NIST) under the Measurement and Engineering Research and Standards (CFDA 11.609) federal grant program. The purpose of this award is to further ongoing collaborations between NIST and the Center for Hierarchical Materials Design. The key activities to be performed include benchmarking phase field models, uncertainty quantification of phase diagrams, artificial intelligence...
This Cooperative Agreement award from the National Institute of Standards and Technology (NIST), under the Measurement and Engineering Research and Standards (CFDA 11.609) Federal Grant Program, provides $251,139.07 to Prospicience, LLC to conduct research to help the NIST Measurement Science for Manufacturing Robotics (MSMR) program develop a better understanding of machine learning (ML) tools and techniques for more efficient and effective robot programming. The key activities to be performed include gathering information on relevant ML tools, examining ML methods for grasping and manipulation at Carnegie Mellon University, and studying how to facilitate the transition of research to industry adoption at the Advanced Robotics for Manufacturing (ARM) Institute. The results of this research are expected to provide insights into the state of ML for manufacturing robotics and guidance on assessing different approaches to reduce the risk of new technology adoption. These insights and tools will be used to support advancements by robotics and ML researchers and developers, and enable broader application of robotics to strengthen the U.S. manufacturing industry.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $251.1k | 7/30/24 |