Cooperative Agreement 80NSSC19M0166
- This Project Grant award from the National Science Foundation (CFDA 47.041 - Engineering) to George Washington University in the amount of $399,998 supports research aimed at designing theories and algorithms for scalable multi-agent planning and control to enable safe and robust urban air mobility (UAM) operations using electric vertical take-off and landing (eVTOL) aircraft. The key technical objectives of the project include: 1) developing safety and robustness techniques for single-agent...
- This National Science Foundation (NSF) EAGER (Early-concept Grants for Exploratory Research) award under CFDA 47.041 - Engineering provides $300,000 in funding to The University of Iowa to research methods for integrating unmanned aircraft systems (UAS) with manned aircraft during airport landing procedures. The key focus areas include: 1) developing advanced motion planning algorithms to coordinate the navigation and control of multiple manned and unmanned aircraft, 2) enhancing pilot comfort...
- This EAGER (Early-concept Grants for Exploratory Research) project grant, awarded by the National Science Foundation's (NSF) Division of Civil, Mechanical, and Manufacturing Innovation under CFDA Program 47.041 (Engineering), will provide $300,000 to the University of Illinois to conduct research on enabling quadrotor robots to safely interact with and assist humans through customized, user-taught functionalities. The research effort aims to develop a framework that allows anyone to safely...
- This Project Grant from the National Science Foundation supports the development of a modular, reconfigurable unmanned aerial vehicle (UAV) platform at Penn State University. Funded under the NSF Technology, Innovation, and Partnerships program for $100,000, the award period is July 1, 2022 through June 30, 2023. The project aims to develop a system of self-contained, compatible rotorcraft modules that can be assembled in various configurations to fulfill diverse transportation and payload...
- The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a $400,000 Project Grant to The Trustees of Princeton University, Office of Research and Project Administration, under the NSF Computer and Information Science and Engineering (CFDA 47.070) program. This 3-year grant supports collaborative research on developing theories and algorithms for scalable multi-agent planning and control to enable safe and robust autonomous electrical vertical take-off and...
- This federal Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program, with CFDA number 47.070, provides $453,372 to Syracuse University to develop autonomous operations of multi-UAV uncrewed aerial systems (UAS) for monitoring and tracking natural disaster events like wildfires and flooding. The key research goals are to design and implement robust motion estimation and control schemes that enable a team of UAVs to...
- 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 $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 collaborative research project, funded by the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), addresses critical safety and robustness challenges in autonomous multi-agent systems. Awarded to the University of California, Berkeley on August 1, 2025, with total funding of $200,000 and a completion date of July 31, 2028, the project develops a scalable framework for...
- 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...
THE OVERALL GOAL OF THIS PROPOSED PROJECT IS TO SUPPORT SAFE OPERATIONS OF UNMANNED AERIAL VEHICLES (UAVS) FOR URBAN MOBILITY. THE INITIAL FOCUS WILL BE ON SMALL OCTOCOPTER UAVS PRIMARILY EMPLOYED FOR PACKAGE DELIVERY IN URBAN SETTINGS BUT LATER WE WILL EXTEND THE WORK TO APPLY TO LARGER UAVS SUCH AS AIR TAXIS THAT MAY BE USED FOR URBAN TRANSPORTATION BY HUMANS. WE WILL DEVELOP A FRAMEWORK AND COMPUTATIONAL ARCHITECTURE THAT IS GENERAL AND SCALABLE. SOME THE KEY CONSIDERATIONS AND HIGHLIGHTS OF OUR OVERALL APPROACH ARE: (1) INTEGRATED ON BOARD AND OFF BOARD SCHEMES FOR MONITORING UAV FLIGHTS FOR INDIVIDUAL VEHICLES AND THE FLEET OF VEHICLES TO MANAGE FLIGHT OPERATIONS REDUCE FLIGHT RISKS AND MAINTAIN FLIGHT SAFETY; (2) SHORT-TERM AND LONG-TERM DECISION MAKING SCHEMES THAT WILL INCLUDE ANALYZING RISK ASSOCIATED WITH THE CURRENT TRAJECTORY GIVEN THE EXISTING ENVIRONMENTAL CONDITIONS CONTINGENCY MANAGEMENT AND FAULT-ADAPTIVE CONTROL TO MAINTAIN SYSTEM TRAJECTORY AND OPERATIONS; AND (3) STUDYING THE EFFECTS OF MULTIPLE INTERACTING SUBSYSTEMS OF THE UAV ON SYSTEM PERFORMANCE ESPECIALLY UNDER DEGRADED AND FAULTY CONDITIONS. WE WILL WORK CLOSELY WITH RESEARCHERS AT NASA AMES TO DEVELOP THE EXISTING HARDWARE-IN-THE-LOOP TESTBED AND RUN EXPERIMENTAL STUDIES ON THIS TESTBED TO DEMONSTRATE THE EFFECTIVENESS OF OUR COMPUTATIONAL ARCHITECTURES AND DECISION-MAKING ALGORITHMS FOR A NUMBER OF RELEVANT SCENARIOS
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | ($1k) | 9/7/21 | ||
| P00003 | Funding Only Action | ($1k) | 9/7/21 | |
| Not listed | $0 | 12/16/20 | ||
| P00002 | Other Administrative Action | $0 | 12/16/20 | |
| Not listed | $0 | 5/12/20 |