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...
The National Science Foundation (NSF) has awarded a $266,589 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of California, Berkeley to develop safe learning-enabled systems that can navigate uncertain environments. The project aims to create a two-phase design process that combines an offline robust synthesis phase with an online safety monitoring and adaptation phase, enabling provable end-to-end safety guarantees for...
The National Science Foundation (NSF) awarded a $213,679 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to the University of California, Berkeley. This grant, titled "CAREER: HIGH-ASSURANCE DESIGN OF LEARNING-ENABLED CYBER-PHYSICAL SYSTEMS WITH DEEP CONTRACTS", aims to develop a novel methodology for the design and verification of learning-enabled cyber-physical systems (CPS). The project will pursue a compositional...
This $800,000 Project Grant award to The Trustees of Princeton University, Department of Research and Project Administration, was provided by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The award aims to develop new techniques for constructing a vision-based safety supervisor that can endow autonomous robotic systems, such as self-driving cars and home robots, with the safety property of "graceful degradation."...
The National Science Foundation Division of Information and Intelligent Systems awarded a $545,980 Project Grant to Princeton University from August 1, 2021 through July 31, 2026 under the Computer and Information Science and Engineering program (CFDA 47.070).
The grant funds research at Princeton University to develop generalization and safety guarantees for learning-based control of robots. The Computer and Information Science and Engineering program supports investigator-initiated research...
The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a $420,530 Project Grant to the Regents of the University of California, doing business as the University of California, Berkeley, under the NSF's Computer and Information Science and Engineering (CFDA 47.070) program. The grant supports a 3-year collaborative research project aimed at "Aligning Robot Representations with Humans". The key objectives are to: 1) develop new types of human...
This $120,000 Project Grant was awarded on July 1, 2024 by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the Regents of the University of California at Riverside (UC Riverside). The funding will support a collaborative research project focused on enhancing the safety and reliability of autonomous driving systems through the development of advanced detection and countermeasure techniques at the application, system, and...
This $270,913 federal Project Grant award, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program, supports research to develop qualitative and quantitative methodologies for assessing the safety of learning-enabled autonomous systems. The project, led by the Augusta University Research Institute, Inc. (AURI), will target foundational challenges in capturing uncertainties from environments and providing timely, comprehensive,...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) Project Grant award of $750,000 to Oregon State University (OSU) will develop tools to design and verify the safety of autonomous systems employing reinforcement learning. The key activities include:
Developing inverse reinforcement learning algorithms to align the agent's norms with the designers' intent, constrained by deontic logic.
Exploring the agent's norms to uncover...
This $147,212 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research to develop a framework for ensuring safe control of autonomous systems, such as driverless cars and robotic systems, in the presence of sensor faults and cyber attacks. The research combines techniques from control theory, machine learning, and system security to enable provable safety guarantees for learning-enabled autonomous systems across a range of...