Project Grant 2218760
Award Date
7/1/22
Completion Date
6/30/25
Dollars Obligated
$500K
Federal Agency
Division of Computer and Network Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Stanford, CA 94305, USA
Similar Awards
The National Science Foundation (NSF) awarded a $188,410 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of California, Berkeley. This 18-month grant, which began on January 1, 2024, supports the development of risk-aware interactive control and planning algorithms to achieve safe cyber-physical-human (CPS-H) systems. The key objectives of this research project are: (i) creating computationally-tractable risk-aware trajectory planning...
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 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 $425,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to develop a framework for ensuring the safety of future robotic systems. The research project, led by The Trustees of Princeton University, aims to lay the foundation for safe robot autonomy by enabling robots to continually prove the safety of their actions under a wide range of operating conditions, from complex physical...
This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) provides $592,000 to Purdue University to support collaborative research on co-designed control and scheduling adaptation for cyber-physical system safety and performance from April 2023 through March 2026. The award aims to develop new models, analyses, infrastructure and metrics to represent and account for interdependencies between control and scheduling in...
This National Science Foundation project grant of $597,585 will fund research into co-designed control and scheduling adaptation for cyber-physical system safety and performance from April 2023 through March 2026. The award is provided through the Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in all areas of computing, communications, and information science and engineering. Specifically, a team led by...
This National Science Foundation (NSF) CAREER grant award under CFDA Program 47.070 (Computer and Information Science and Engineering) provides $226,180 in funding to the University of Notre Dame to enhance the security of cyber-physical systems, such as autonomous vehicles, that utilize reinforcement learning. The project focuses on developing innovations that combine precise specifications expressed in signal temporal logic to study functional and timing vulnerabilities in these systems, and...
This $161,841 project grant from the National Science Foundation's Computer and Information Science and Engineering program will support Northeastern University in developing theory and algorithmic tools for data-driven modeling and preview-based control to improve cyber-physical system safety. Specifically, the university will create a modeling formalism called "preview automata" to design provably-safe controllers leveraging predictive information from sensors, maps, forecasts or...
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...