This $994,988 National Science Foundation project grant through the Engineering program (CFDA 47.041) will fund research at the University of New Mexico from May 1, 2023 through April 30, 2028. The research aims to develop an algorithmic framework for integrating knowledge of human perception and reasoning about uncertainty into the design and control of autonomous dynamical systems. New mathematical theory and computational algorithms will be created based on control theory, machine learning,...
The National Science Foundation (NSF) has awarded a $850,000 Project Grant under its Computer and Information Science and Engineering (CFDA 47.070) program to the University of California, Los Angeles (UCLA) to develop an efficient human-in-the-loop learning framework for human-centric cyber-physical systems (CPS). The 3-year project aims to create a novel approach to integrate human oversight and intervention into the training of CPS agents, such as assistive driving and exoskeleton systems, to...
This Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) provides $199,880 to the University of Michigan-Dearborn through February 2024 to investigate the role of affect in fostering trust in automated driving. Specifically, the awardee will pursue three integrated aims: 1) build real-time trust prediction models using psychophysiological measures; 2) investigate the relationships between affect and trust in automated vehicles; and 3) calibrate trust in...
This five-year National Science Foundation Project Grant of $1,238,246 will fund research at Carnegie Mellon University toward developing safe autonomous systems. The goal is to enable robots and other autonomous systems to operate safely while interacting closely with humans, as required for applications like next-generation manufacturing infrastructure. The university will develop a new algorithmic framework for assuring safety in autonomous robotic systems. The framework aims to optimize...
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 $482,972 National Science Foundation (NSF) Engineering program (CFDA 47.041) grant supports fundamental research at North Carolina State University (NC State) to understand the behavior and interactions of mixed autonomous and human-driven vehicle traffic streams. The project aims to: (1) characterize the driving behaviors of human-driven and connected automated vehicles in conflicting traffic, (2) analyze the collective impact of mixed traffic on traffic flow, and (3) develop robust...
This $522,592 federal Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to create a data-driven autonomy framework that enables everyday workers to safely and effectively teach robots. The research will advance the state-of-the-art in dynamical systems and control through three interconnected thrusts: 1) developing a novel framework for data-driven control of complex, hard-to-model systems; 2) introducing methods for teaching robots through...
This National Science Foundation (NSF) CAREER Award under the Engineering (CFDA 47.041) program provides $556,507 in funding to Embry-Riddle Aeronautical University from July 1, 2023 to June 30, 2028. The award supports fundamental research to investigate human driving behavior and interactions among traffic participants, with the goal of enabling technological advances in autonomous and connected vehicles. The research will leverage an immersive virtual reality driving simulator to conduct...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $350,000 to North Carolina State University (NC State) will develop an efficient human-in-the-loop learning framework for human-centric cyber-physical systems (CPS). The project aims to create a learning approach that incorporates a human subject to monitor the learning agent and intervene when unsafe behavior occurs, demonstrating the correct actions....
This $564,734 Project Grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop principled algorithms and practical tools that systematically discover and repair unsafe behavior in autonomous vehicle systems. The key objectives are to: Create an automated method for constructing diverse test scenarios that can deeply explore realistic traffic situations and identify collision-inducing scenarios. Develop...
This five-year, $673,782 National Science Foundation project grant in the Engineering program (CFDA 47.041) will fund research at Purdue University to develop a control-theoretic framework for modeling human cognitive state dynamics during human-automation interaction. The framework will define a human cognitive state space and characterize its dynamics in a model that can be used for control system design. A methodology will be created to estimate cognitive states and parameters in real time using sensor data. Experiments with commercial trucks will validate the models and algorithms. The research aims to enable autonomous systems like vehicles to respond safely to humans based on estimates of cognitive factors like trust, workload, and confidence. It will also train students on socio-political challenges of increasing automation through new coursework and policymaker experiences.