Search Results for author: Kerianne L. Hobbs

Found 5 papers, 0 papers with code

Run Time Assurance for Simultaneous Constraint Satisfaction During Spacecraft Attitude Maneuvering

no code implementations22 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.

Safety, Trust, and Ethics Considerations for Human-AI Teaming in Aerospace Control

no code implementations15 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.

Decision Making Ethics

Run Time Assurance for Autonomous Spacecraft Inspection

no code implementations6 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.

Systems Theoretic Process Analysis of a Run Time Assured Neural Network Control System

no code implementations1 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).

Collision Avoidance Reinforcement Learning (RL)

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