Project Grant FA86512410007

This three-year, $309,811 project grant from the National Science Foundation's Engineering program (CFDA 47.041) will fund research at The Trustees of the Stevens Institute of Technology to develop techniques for improving the resilience of vision-guided unmanned aerial vehicles and other mobile robotic technologies against cyberattacks. The research aims to advance a framework for detecting and responding to stealthy attacks that simultaneously target mission planning, control, perception,...

This $274,354 National Science Foundation project grant funds research at the University of Nevada, Reno to develop techniques for improving the resilience of vision-guided unmanned aerial vehicles and other autonomous systems against cyberattacks. The grant is part of the NSF's Engineering program (CFDA 47.041), which supports innovation and excellence in engineering research. Specifically, the research aims to advance an observability analysis framework for detecting and responding to stealthy...

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 Project Grant from the National Science Foundation's Division of Behavioral and Cognitive Sciences, under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075), provides $418,127 to Rensselaer Polytechnic Institute. The funding will support research investigating how people visually guide movement to satisfy goals over multiple time horizons through complex navigation tasks. Researchers will study human steering and gaze strategies using a custom virtual...

This three-year, $500,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research at the University of California, Davis to develop trustworthy machine learning systems through adversarial robust reinforcement learning. Specifically, the award supports investigating potential vulnerabilities in reinforcement learning models and algorithms, developing robust RL approaches that mitigate impacts from adversarial attacks, and...

This Project Grant from the National Science Foundation's $524,474 Computer and Information Science and Engineering program will support the development of artificial intelligence systems capable of understanding general real-world tasks and providing step-by-step visual and language guidance to solve complex problems. Over a three-year period from June 2022 to May 2025, researchers at the University of Minnesota will create a new dataset annotating diverse everyday tasks and solutions,...

This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) to Virginia Polytechnic Institute & State University (Virginia Tech) provides $500,000 in funding from Jul 1, 2023 to Jun 30, 2026 to enhance the security and robustness of autonomous driving systems against physical-world perceptual illusion attacks. The project aims to deepen the understanding of security risks from physical attacks that could undermine the sensing...

This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop a hybrid, vision-centric framework that integrates intuitive and deliberate visual processing to create more robust visual intelligence. The $111,878 award to New York University (NYU) supports research focused on advancing vision-centric parametric knowledge, incorporating human-like non-parametric mechanisms, and integrating these...

This Project Grant from the National Science Foundation's Technology, Innovation, and Partnerships program (NSF TIP, CFDA 47.084) totaling $274,746 provides funding for the development of modular and updatable artificial intelligence capabilities for robotics. Optimizing Mind Inc. will utilize the award to create a novel computer vision architecture allowing robots to learn without rehearsal through corrections for real-world environmental details not present in training. This flexible...

This federal Project Grant award of $283,832, made by the National Science Foundation's (NSF) Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program, supports research to investigate how the human brain creates the perception of visual stability during naturalistic attention tasks. The project aims to test whether the latest AI-powered vision-language models can generate plausible visual scenes in real-time using limited input...