AmesDT: Digital Twin and Autonomy Validation EnvironmentA simulation of NASA Ames Research Center was developed to provide a common testbed for multiple areas of research within the Intelligent Systems Division, primarily related to verification and validation of autonomous technologies, machine learning, and digital twin systems. AmesSim corresponds a physical rover that is capable of navigation in the real-world environment; in this way, the same experiments can be run in both settings, with the same software and hardware stacks in the loop. The simulation is built in Unreal Engine 4 and uses the AirSim plugin for API convenience. Several custom modifications allow deterministic, faster-than-realtime execution, which enables consistent testing of on-line algorithms and large-scale data collection. This paper describes the architecture and capabilities of the simulation and discusses development challenge.
Document ID
20250000243
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Rory Lipkis (Ames Research Center Mountain View, United States)
Ignacio López-Francos (KBR (United States) Houston, Texas, United States)
Pavlo Vlastos (KBR (United States) Houston, Texas, United States)
Adrian Agogino (Ames Research Center Mountain View, United States)
Date Acquired
January 8, 2025
Subject Category
Cybernetics, Artificial Intelligence and Robotics
Meeting Information
Meeting: AIAA SciTech Forum
Location: Orlando, FL
Country: US
Start Date: January 6, 2025
End Date: January 10, 2025
Sponsors: American Institute of Aeronautics and Astronautics