Comparing the Explainability and Performance of Reinforcement Learning and Genetic Fuzzy Systems for Safe Satellite Docking. - Kyle Dunlap; Kelly Cohen; Kerianne Hobbs (NAFIPS, 2021)

Hybrid Fuzzy-LQR Control for Time Optimal Spacecraft Docking. - Kyle Dunlap; Kelly Cohen (NAFIPS, 2022)

Ablation Study of How Run Time Assurance Impacts the Training and Performance of Reinforcement Learning Agents. - Nathaniel Hamilton; Kyle Dunlap; Taylor T. Johnson; Kerianne L. Hobbs (CoRR, 2022)

Systems Theoretic Process Analysis of a Run Time Assured Neural Network Control System. - Kerianne L. Hobbs; Benjamin K. Heiner; Lillian Busse; Kyle Dunlap; Jonathan C. Rowanhill; Ashlie B. Hocking; Aditya Zutshi 003 (CoRR, 2022)

Comparing Run Time Assurance Approaches for Safe Spacecraft Docking. - Kyle Dunlap; Michael Hibbard; Mark Mote; Kerianne Hobbs (IEEE Control. Syst. Lett., 2022)

A Universal Framework for Generalized Run Time Assurance with JAX Automatic Differentiation. - Umberto J. Ravaioli; Kyle Dunlap; Kerianne Hobbs (ACC, 2023)

Run Time Assurance for Autonomous Spacecraft Inspection. - Kyle Dunlap; David van Wijk; Kerianne L. Hobbs (CoRR, 2023)

Deep Reinforcement Learning for Autonomous Spacecraft Inspection using Illumination. - David van Wijk; Kyle Dunlap; Manoranjan Majji; Kerianne L. Hobbs (CoRR, 2023)

Run Time Assured Reinforcement Learning for Safe Satellite Docking. - Kyle Dunlap; Mark Mote; Kaiden Delsing; Kerianne L. Hobbs (J. Aerosp. Inf. Syst., 2023)

Run Time Assurance for Simultaneous Constraint Satisfaction During Spacecraft Attitude Maneuvering. - Cassie-Kay McQuinn; Kyle Dunlap; Nathaniel Hamilton; Jabari Wilson; Kerianne L. Hobbs (CoRR, 2024)

Demonstrating Reinforcement Learning and Run Time Assurance for Spacecraft Inspection Using Unmanned Aerial Vehicles. - Kyle Dunlap; Nathaniel Hamilton; Zachary S. Lippay; Matt Shubert; Sean Phillips; Kerianne L. Hobbs (CoRR, 2024)

Space Processor Computation Time Analysis for Reinforcement Learning and Run Time Assurance Control Policies. - Kyle Dunlap; Nathaniel Hamilton; Francisco Viramontes; Derrek Landauer; Evan Kain; Kerianne L. Hobbs (CoRR, 2024)

Investigating the Impact of Choice on Deep Reinforcement Learning for Space Controls. - Nathaniel Hamilton; Kyle Dunlap; Kerianne L. Hobbs (CoRR, 2024)

Run Time Assured Reinforcement Learning for Six Degree-of-Freedom Spacecraft Inspection. - Kyle Dunlap; Kochise Bennett; David van Wijk; Nathaniel Hamilton; Kerianne Hobbs (CoRR, 2024)

Deep Reinforcement Learning for Scalable Multiagent Spacecraft Inspection. - Kyle Dunlap; Nathaniel Hamilton; Kerianne L. Hobbs (CoRR, 2024)

Safe Spacecraft Inspection via Deep Reinforcement Learning and Discrete Control Barrier Functions. - David van Wijk; Kyle Dunlap; Manoranjan Majji; Kerianne Hobbs (J. Aerosp. Inf. Syst., 2024)

The Safe Trusted Autonomy for Responsible Space Program. - Kerianne L. Hobbs; Sean Phillips; Michelle Simon; Joseph B. Lyons; Jared Culbertson; Hamilton Scott Clouse; Nathaniel Hamilton; Kyle Dunlap; Zachary S. Lippay; Joshua Aurand; Zachary I. Bell; Taleri Hammack; et al. (CoRR, 2025)

Investigating the Impact of Observation Space Design Choices On Training Reinforcement Learning Solutions for Spacecraft Problems. - Nathaniel Hamilton; Kyle Dunlap; Kerianne L. Hobbs (CoRR, 2025)

Collision Avoidance and Geofencing for Fixed-Wing Aircraft With Control Barrier Functions. - Tamás G. Molnár; Suresh K. Kannan; James Cunningham; Kyle Dunlap; Kerianne L. Hobbs; Aaron D. Ames (IEEE Trans. Control. Syst. Technol., 2025)