This EAGER (Early-concept Grants for Exploratory Research) project, awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041), aims to create a personalized training framework that adapts to each worker's cognitive functions and sensorimotor skills in collaborative robotic manufacturing environments. The $299,953 grant, awarded on September 1, 2024, with a completion date of August 31, 2026, focuses on advancing personalized training strategies for complex...
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 awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) provides $522,592.00 in funding to Trustees of Boston University from January 1, 2025 to December 31, 2027. The research aims to create a data-driven autonomy framework that enables everyday workers to safely and effectively teach robots, ensuring the robots respect operational limits and adapt to changes in their environment. The project has three interconnected research thrusts: 1)...
This $150,000 Project Grant from the National Science Foundation's Office of Emerging Frontiers and Multidisciplinary Activities, under the Engineering program (CFDA 47.041), will support the development of a conceptual framework and physical testbed to advance human-robot collaboration across distributed manufacturing environments. Specifically, the Virginia Polytechnic Institute & State University will generate knowledge around how to optimize mixed teams of on-site human and robot workers...
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 federal Cooperative Agreement award from the Air Force Research Laboratory, under the Air Force Defense Research Sciences Program (CFDA 12.800), provides $11,150,000 in funding to the Advanced Robotics For Manufacturing Institute (ARM Institute) to perform work on "Advanced Robotics & Automation for Manufacturing". The award period runs from April 8, 2025 through July 8, 2032. As a non-profit organization focused on advancing robotics, automation, and manufacturing...
This Project Grant awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) will support $361,090 in research to expand the understanding of how robots can make safe decisions in real-world environments. The goal is to develop new methods that enable robots to better assess and respond to nuanced safety challenges, such as avoiding areas marked with caution tape, slowing down when transporting hot liquids, and seeking clarification when uncertain about a task....
This National Science Foundation (NSF) Early-Concept Grant for Exploratory Research (EAGER) project, under the NSF Engineering program (CFDA 47.041), will support research at Arizona State University (ASU) to create a new modeling and learning framework enabling efficient coordination between a human and robot in urgent and safety-critical sensorimotor tasks. The $300,000 award, from September 2024 to August 2026, will integrate ideas from behavioral economics, game theory, optimal control,...
This $506,839 project grant, awarded by the National Science Foundation's Engineering program (CFDA 47.041), aims to innovate automotive radar perception for autonomous driving applications. The key products and services to be delivered under this 5-year award include: Developing learning-based adaptive radar transmit parameter adjustment techniques to enhance the dynamic range and address the ill-posed inverse problem inherent in automotive radar imaging. Designing iterative optimization...
This EAGER (Early-concept Grants for Exploratory Research) Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to advance dexterous teleoperation and human-robot collaboration technologies. The $160,000 award supports research to develop a learning-based robot control policy, a safety-aware multi-modal perception system, and integrated control and feedback mechanisms for intuitive and precise bi-directional human-robot interactions. The project...