no code implementations • 22 Feb 2024 • Cassie-Kay McQuinn, Kyle Dunlap, Nathaniel Hamilton, Jabari Wilson, Kerianne L. Hobbs
Monte Carlo simulation results as well as plots of example cases are shown and evaluated for a three degree of freedom spacecraft with reaction wheel attitude control.
no code implementations • 15 Nov 2023 • Kerianne L. Hobbs, Bernard Li
Designing a safe, trusted, and ethical AI may be practically impossible; however, designing AI with safe, trusted, and ethical use in mind is possible and necessary in safety and mission-critical domains like aerospace.
no code implementations • 27 Mar 2023 • Jonathan Rowanhill, Ashlie B. Hocking, Aditya Zutshi, Kerianne L. Hobbs
This work examines leveraging the core theory behind ASIF as assurance argument explaining novel satisfaction of 516C compliance criteria.
no code implementations • 6 Feb 2023 • Kyle Dunlap, David van Wijk, Kerianne L. Hobbs
A comparison is made between centralized and decentralized control, where simulations of the inspection problem then demonstrate that RTA can assure safety of all constraints.
no code implementations • 1 Sep 2022 • Kerianne L. Hobbs, Benjamin K. Heiner, Lillian Busse, Kyle Dunlap, Jonathan Rowanhill, Ashlie B. Hocking, Aditya Zutshi
This research considers the problem of identifying safety constraints and developing Run Time Assurance (RTA) for Deep Reinforcement Learning (RL) Tactical Autopilots that use neural network control systems (NNCS).