Project Grant FA86552417046

This $350,961 National Science Foundation project grant supports the development of algorithms and design principles to enable safe and secure collaboration between artificial intelligence systems and human operators in autonomous vehicles. Funded under the Computer and Information Science and Engineering program, the objectives are to maintain human vigilance through secondary in-vehicle tasks calibrated to AI decision uncertainty levels, develop a fault-tolerant AI capable of assessing its own...

This National Science Foundation project grant of $235,898 supports collaborative research on human-automation interaction for the future of work through August 2024. Funded by the Integrative Activities program under the CFDA number 47.083, the award to the University of New Hampshire will develop the science and technology of intuitive human-automation interactions that promote safety, transparency, dignity and trust. Specifically, the university will conduct research with German...

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:...

The Department of the Army Materiel Command Research Development and Engineering Command awarded a $492,100 cooperative agreement to the Florida Institute For Human & Machine Cognition Inc. from September 30, 2022 through March 29, 2024. The award will support research to develop technologies for breaching and accessing urban structures with humanoid robots under the Basic, Applied, and Advanced Research in Science and Engineering program (CFDA 12.630). This program aims to fund basic,...

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 Cooperative Agreement, awarded by the U.S. Department of Defense under the Basic Scientific Research program (CFDA 12.431), supports research on "Brain-Inspired Human-Robot Cooperative Autonomy via Distributed Inference and Trust." The $250,000 award to the University of Kansas Center for Research Inc. will fund the development of trust-based algorithms and mechanisms to enable robots to evaluate and combine inputs from human operators, improving the efficiency and robustness of...

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 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 $192,286 Project Grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research to improve collaboration between humans and robots in dynamic industrial environments such as construction and manufacturing settings. The research aims to develop an adaptive human-robot collaboration framework that integrates real-time monitoring of human physiological states and environmental conditions to allow robots to respond intelligently to changes and...

This $190,504 National Science Foundation project grant supports the development of novel methodologies for multi-robot coordination grounded in human collaboration. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the awardee Brown University will create an online crowdsourcing application to collect data on how distributed human teams coordinate to complete tightly coupled tasks when constrained to limited information and actions similar to robots....