Kyle Dunlap

According to our database, Kyle Dunlap authored at least 15 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Investigating the Impact of Choice on Deep Reinforcement Learning for Space Controls.

Nathaniel Hamilton, Kyle Dunlap, 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

Demonstrating Reinforcement Learning and Run Time Assurance for Spacecraft Inspection Using Unmanned Aerial Vehicles.

Kyle Dunlap, Nathaniel Hamilton, Zachary Lippay, Matt Shubert, Sean Phillips, Kerianne L. Hobbs

CoRR, 2024

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

CoRR, 2024

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

2023

Run Time Assured Reinforcement Learning for Safe Satellite Docking.

Kyle Dunlap, Mark Mote, Kaiden Delsing, Kerianne L. Hobbs

J. Aerosp. Inf. Syst., 2023

Deep Reinforcement Learning for Autonomous Spacecraft Inspection using Illumination.

David van Wijk, Kyle Dunlap, Manoranjan Majji, Kerianne L. Hobbs

CoRR, 2023

Run Time Assurance for Autonomous Spacecraft Inspection.

Kyle Dunlap, David van Wijk, Kerianne L. Hobbs

CoRR, 2023

A Universal Framework for Generalized Run Time Assurance with JAX Automatic Differentiation.

Umberto J. Ravaioli, Kyle Dunlap, Kerianne Hobbs

Proceedings of the American Control Conference, 2023

2022

Comparing Run Time Assurance Approaches for Safe Spacecraft Docking.

Kyle Dunlap, Michael Hibbard, Mark Mote, Kerianne Hobbs

IEEE Control. Syst. Lett., 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

CoRR, 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

Hybrid Fuzzy-LQR Control for Time Optimal Spacecraft Docking.

Kyle Dunlap, Kelly Cohen

Proceedings of the Applications of Fuzzy Techniques, 2022

2021

Comparing the Explainability and Performance of Reinforcement Learning and Genetic Fuzzy Systems for Safe Satellite Docking.

Kyle Dunlap, Kelly Cohen, Kerianne Hobbs

Proceedings of the Explainable AI and Other Applications of Fuzzy Techniques, 2021