NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
An MBSE Approach for Developing an Autonomous Rover PlatformThe proliferation of increasingly autonomous systems calls for new ways to address how safety is assured. As these systems become more advanced and complex, it becomes more important to model and prototype autonomous functions at the systems level and the functions that assure they are operating safely and as expected. To that effect, researchers at the National Aeronautics and Space Administration (NASA) 's Robust Software Engineering (RSE) group are working on prototyping a Research Autonomous Vehicle, commonly referred to as R-RAV. The R-RAV is an autonomous rover platform designed to act as a case study for assured autonomy research. Moreover, an overarching goal is for the R-RAV to serve as a training ground for other mission projects. In this paper, we will detail how we have used a Model-Based Systems Engineering (MBSE) approach to model a prototype of the R-RAV and test and verify its different functionalities.
Document ID
20220010070
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Ignacio G López-Francos ORCID
(Wyle (United States) El Segundo, California, United States)
Seydou Mbaye
(Ames Research Center Mountain View, California, United States)
Samantha Infeld ORCID
(Analytical Mechanics Associates (United States) Hampton, Virginia, United States)
Date Acquired
June 30, 2022
Publication Date
January 23, 2023
Publication Information
Publication: AIAA SciTech 2023 Forum
Publisher: American Institute of Aeronautics and Astronautics
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Meeting Information
Meeting: AIAA SciTech Forum and Exposition
Location: National Harbor, MD
Country: US
Start Date: January 23, 2023
End Date: January 27, 2023
Sponsors: American Institute of Aeronautics and Astronautics
Funding Number(s)
CONTRACT_GRANT: 80ARC020D0010
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
Single Expert
Keywords
MBSE
Autonomous systems
Robotics
Systems engineering
SysML
AI safety
No Preview Available