Project Grant 1819302

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...

This three-year Project Grant from the National Science Foundation's Division of Computer and Network Systems and Computer and Information Science and Engineering program (CFDA 47.070) provides $500,000 to Stanford University to develop risk-aware planning and control strategies for safe human-cyber physical system interactions. The award will advance the state-of-the-art in cyber-physical-human system planning and control through computationally tractable risk-aware trajectory planning...

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 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 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) 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 EAGER (Early-concept Grants for Exploratory Research) project, funded by the National Science Foundation (NSF) Engineering program (CFDA 47.041), will advance system designs, models, and algorithms for state-aware demand control to enhance shared use of emerging autonomous mobility systems. The $150,000 award, effective May 1, 2025 through April 30, 2026, will support research at the University of California, Berkeley to address challenges in managing congestion and maximizing...

This NSF CISE program Project Grant awarded to The Trustees of the University of Pennsylvania, doing business as the Clinical Practices of the University of Pennsylvania, is providing $533,411 to fund collaborative research focused on maintaining the safety of learning-enabled systems that navigate in unknown environments. The key objectives are to: (i) develop a two-phase design and deployment process that integrates offline robustness synthesis with online safety monitoring and adaptation,...

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 $199,822 National Science Foundation project grant, awarded under the Integrative Activities program, will fund research at West Virginia University and Stanford University to develop algorithms for safety validation of autonomous systems. The goal is to build trust in AI-enabled complex systems for safety-critical applications by leveraging information from multiple sources. The researchers will develop tools using data-driven optimization and reinforcement learning algorithms to...