NASA
National Aeronautics and Space Administration
NASA Secure and Safe Assured Autonomy Developing a unified UAM use case to demonstrate diverse research efforts.
By
Dr. Pankaj Dhussa
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
NASA Secure and Safe Assured Autonomy Developing a unified UAM use case to demonstrate diverse research efforts.
1. Secure and Safe Assured Autonomy
Developing a unified UAM use case to demonstrate diverse research efforts.
Challenge
- Secure and Safe Autonomy Assurance (S2A2) is a
University-led initiative that focuses on developing new
technologies and innovative operational concepts for
realizing Urban Air Mobility (UAM) in a safe, secure, and
robust manner.
- This project involves more than a dozen teams from
three universities and an industry partner.
- To handle the complexities of the UAM concept, these
teams have been assigned individual research tasks
that contribute to one of the following four technical
challenge (TC) areas:
TC1: Safe Perception, Coordination, Planning,
and Navigation
TC3: Verification & Validation and Test &
Evaluation
Expected Impacts
- UAM is a complex concept; therefore, different teams
are contributing to different segments of the
problem using a wide range of technical approaches
and research methods.
- For example, some teams are using simulations to
test and validate their algorithms, while others have
set up experiments with UAVs to approximate
passenger-carrying aerial vehicles.
- While such differences are helpful in adding new
perspectives to the problem, they can also dissipate
the overarching goal of the project.
Partners and Participants
• North Carolina Agricultural and Technical State University, Lead
University, TC-1 Lead, TC-3 Lead.
• Georgia Institute of Technology, TC-1 Co-lead, TC-3 Co-Lead, and
TC-4 Co-Lead.
• Purdue University, TC-2 Lead, TC-4 Lead.
• Aurora Flight Sciences, System Integration Partner.
Proposed Solution
- A common use case scenario, defined as follows:
• 28 vertiports in the Greater Atlanta Metro Area.
• One UAM fleet operator, one service provider (PSU).
• Flight schedule with 50+ passenger-carrying trips over a 30-
minute period.
- Each team selects a part of the common use case to demonstrate
their research.
- This approach retains the individuality of each team’s research while
providing a shared narrative that enables collaboration and
highlights the real-world impact of each research task within the
S2A2 project.
Implementation and Expected Results
TC2: Secured Autonomy
TC4: System Integration
Goal: Develop flexible and adaptive coordination and control
algorithms for UAM.
Goal: Provide provable guarantees of correctness of the
UAM software via V&V and support them through T&E.
Goal: Integrate research efforts across all TCs through
dependency analytics, simulation and experimental tests.
Goal: Develop resilient control and machine learning-based
methods to defend against or mitigate cyberattacks.