This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $652,065 to the University of Washington to research and develop data-driven safety models for autonomous systems, such as robots and self-driving vehicles, to navigate safely around humans. The award funds research, education, and outreach initiatives to enhance the predictability, operational efficiency, and safety of human-system interactions in complex real-world environments. Key...
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 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...
Arizona State University received a $300,000 Project Grant award from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation. The award is part of NSF's Engineering program (CFDA 47.041) to support research and education improving quality of life and economic strength. The two-year award funds a research project titled "EMBODIMENT OF HUMAN VALUES PROFILES IN THE CONTROL OF AUTONOMOUS VEHICLES." The project aims to advance understanding of how to...
This $316,963 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will support research to enhance the safety and reliability of autonomous vehicles. The project aims to thoroughly examine and improve the controller and machine learning components of autonomous driving systems through a combination of model-based and data-driven approaches. The research will focus on identifying spatial and temporal vulnerabilities that...
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 (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 $500,000 project grant, awarded on January 1, 2024 by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to address the urgent need for end-to-end safety in learning-enabled autonomous systems across various application scenarios, such as self-driving cars and urban air mobility. The project, titled "COLLABORATIVE RESEARCH: SLES: GUARANTEED TUBES FOR SAFE LEARNING ACROSS AUTONOMY ARCHITECTURES,"...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) for $175,000 provides funding to the University of Michigan-Dearborn to understand trust transfer and dynamics across automation levels for automated vehicles (AVs). The project aims to: (1) develop a framework for trust transfer across AV automation levels and driving contexts, (2) estimate trust transferability based on human-machine interface (HMI) design, and (3)...
This $150,000 federal Project Grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program aims to develop and deploy low-cost, battery-powered smart cameras to democratize urban mobility data acquisition, especially in underserved communities. The research will focus on creating new control and perception algorithms to efficiently operate these smart cameras within battery and computational constraints. Key project elements...