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 Project Grant award of $5,500,000 from the National Institute of Standards and Technology (NIST) under the Congressionally-Identified Projects program (CFDA 11.617) supports research, development, and prototyping of collaborative robots (cobots) targeted for people aging in place. The key activities include configuring and evaluating existing cobots within simulated home living environments, assessing autonomy levels and their impact on efficacy, and developing collaborations with community...
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...
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 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...
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 Cooperative Agreement award, with a total funding of $100,067, was granted by the National Institute of Standards and Technology (NIST) under the Measurement and Engineering Research and Standards (CFDA 11.609) program. The purpose of this award is to develop open-source examples of applications for utilizing the IEEE 1872.1-2024 Robot Task Representation Standard, as well as to lead the working group (IEEE P1872.1.1 Robot Tasking) to formalize those examples and others into a...
This $140,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to revolutionize teleoperation technology for dexterous in-hand manipulation in human-robot collaboration. The primary research objectives are to: 1) develop a learning-based robot control policy to interpret human commands using end-effect-based task features, 2) create a safety-aware, multi-modal perception system to optimize sensory inputs for intuitive and safe operation, and...
This $349,000 National Science Foundation project grant supports research at Rice University to develop new robotics capabilities under uncertainty. The NSF Division of Civil, Mechanical, and Manufacturing Innovation is funding this three-year award through its Engineering program (CFDA 47.041). Specifically, the researchers will establish generic frameworks for robot manipulation systems to self-identify using exploratory motions while maintaining stability. By changing the traditional...
This Project Grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will fund the development of advanced, vision-based tactile gel-robots capable of perceiving and manipulating soft, fragile objects. The $312,960 award will integrate fatigue-resistant photoelastic gels, stress-interpreting photometry systems, and physics-informed machine learning to enable multi-physical perception and ultra-gentle handling capabilities. This research will advance robotics in...