Project Grant FA95501510025

This $901,102 Project Grant award from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation will fund fundamental research at the University of California, Davis, the University of Colorado Boulder, and the Cleveland Clinic Foundation. The research aims to develop a new theoretical framework for promoting more forgiving and effective relationships between humans and autonomous machines through the concept of embodiment. Key activities will include:...

This five-year, $1.2 million project grant from the National Science Foundation's Integrative Activities program will fund research into community-embedded robotics through long-term autonomous deployments. The University of Texas at Austin, in partnership with the University of Texas System, will combine expertise in human-robot interaction, human factors, organizational communication, science and technology studies, team science, and research informatics. The project aims to study interactions...

This five-year, $205,073 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will support research at Tufts University to develop methods for transferring multisensory object knowledge across collaborative robots. The Principal Investigator will work to enable robots with different bodies, sensors and movement capabilities to learn from each other's experiences manipulating and perceiving objects through various senses. This...

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 EAGER (Early-concept Grants for Exploratory Research) project grant, awarded by the National Science Foundation's (NSF) Division of Civil, Mechanical, and Manufacturing Innovation under CFDA Program 47.041 (Engineering), will provide $300,000 to the University of Illinois to conduct research on enabling quadrotor robots to safely interact with and assist humans through customized, user-taught functionalities. The research effort aims to develop a framework that allows anyone to safely...

This National Science Foundation (NSF) Engineering program (CFDA 47.041) grant award of $299,954 to the University of Washington supports fundamental research to enhance trust in autonomous mobility systems (AMS) through the use of human egocentric eyeglasses as external AMS sensors. The 2-year project, titled "EAGER: TASKDCL: Building Human Trust in Autonomous Social Navigation with Egocentric Visual Feedback," aims to develop computer vision models, online inference approaches, and...

This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research to develop advanced, user-friendly assistive artificial intelligence (AI) systems that enable individuals with severe movement disabilities to control robotic devices. The $273,424 award to the University of Rhode Island aims to create a framework for multimodal, human-centered shared autonomy AI paradigms that empower those with paralysis to control high-degree-of-freedom...

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 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $522,592 to Trustees of Boston University to develop a data-driven autonomy framework that enables everyday workers to safely and effectively teach robots. The research aims to create novel control methods and teaching techniques for complex, hard-to-model mechanical systems, with a focus on stability, safety, and long-term adaptability. Key objectives include developing a Koopman...

This Project Grant from the National Science Foundation supports the LEAP project at the Illinois Institute of Technology. LEAP will develop and demonstrate embodied robot technology to accelerate its adoption within the construction industry. Totaling $149,543 in funding, the award's period of performance is from October 1, 2022 to September 30, 2023. Specifically, LEAP aims to study construction workers' acceptance of robotics through experiments exploring human-robot interaction and...