Arizona State University received a $569,413 National Science Foundation Project Grant under the Engineering program (CFDA 47.041) for the period of June 1, 2021 through May 31, 2026. The grant funds the "CAREER: WHEN REALITY FAILS EXPECTATIONS: CONTAINING REFLECTIVE DOMAIN MODELS FOR HUMAN-AWARE PLANNING AND LEARNING OF ROBOTIC TEAMMATES" project. This project aims to develop domain models and learning techniques to help robots better understand human expectations and adapt their...
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 $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...
The National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation awarded a $202,000 Project Grant to Michigan State University under the Engineering (CFDA 47.041) program. The funding will support collaborative research to develop scalable, data-driven predictive control frameworks for managing mixed traffic systems with connected and automated vehicles alongside human-driven vehicles. The project aims to enable advancements in transportation efficiency and...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $338,536 to George Mason University to enhance the safety and reliability of autonomous vehicle systems. The project aims to identify and mitigate vulnerabilities in the control software and machine learning components of autonomous vehicles through a combination of model-based and data-driven approaches for end-to-end resilience assessment and...
The National Science Foundation (NSF) awarded a $109,992 Project Grant under its Computer and Information Science and Engineering (CFDA 47.070) program to the University of Texas at Dallas (UTD). This 2-year grant, effective July 1, 2024, focuses on enhancing the safety and reliability of autonomous driving systems. Key objectives include: Developing advanced detection and countermeasure techniques at the application, system, and hardware layers to ensure self-driving cars can make safe...
The National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation awarded a $203,000 Project Grant to the University of California, San Diego (UCSD) under the NSF Engineering program (CFDA 47.041). The grant will fund a collaborative research project that aims to develop a new data-driven model-free control and optimization framework to enable efficient, robust, and safe coordination of connected and automated vehicles in mixed traffic systems with human-driven...
Arizona State University was awarded a three-year $500,000 project grant from the National Science Foundation to develop neuro-symbolic learning and control tools for cyber-physical systems. The grant is funded through the NSF's Computer and Information Science and Engineering program, which supports research and education in all areas of computing, communications, and information science and engineering. Under this award, Arizona State University researchers will integrate machine learning,...
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,...
Arizona State University received a $510,449 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) for the period of August 1, 2021 through July 31, 2026. The grant funds the CAREER project "LEARNING TO SEARCH WITH STRUCTURE (LESS), A UNIFYING ALGORITHMIC FRAMEWORK FOR GRAY BOX OPTIMIZATION OF BIOMANUFACTURING SYSTEMS" which aims to develop a new algorithmic framework for optimizing biomanufacturing systems through structured search techniques....