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2020 – today
- 2024
[i12]Cassie-Kay McQuinn, Kyle Dunlap, Nathaniel Hamilton, Jabari Wilson, Kerianne L. Hobbs:
Run Time Assurance for Simultaneous Constraint Satisfaction During Spacecraft Attitude Maneuvering. CoRR abs/2402.14723 (2024)- [i11]Tamás G. Molnár, Suresh K. Kannan, James Cunningham, Kyle Dunlap, Kerianne L. Hobbs, Aaron D. Ames:
Collision Avoidance and Geofencing for Fixed-wing Aircraft with Control Barrier Functions. CoRR abs/2403.02508 (2024) - [i10]Kyle Dunlap, Nathaniel Hamilton, Zachary Lippay, Matt Shubert, Sean Phillips, Kerianne L. Hobbs:
Demonstrating Reinforcement Learning and Run Time Assurance for Spacecraft Inspection Using Unmanned Aerial Vehicles. CoRR abs/2405.06770 (2024) - [i9]Kyle Dunlap, Nathaniel Hamilton, Francisco Viramontes, Derrek Landauer, Evan Kain, Kerianne L. Hobbs:
Space Processor Computation Time Analysis for Reinforcement Learning and Run Time Assurance Control Policies. CoRR abs/2405.06771 (2024) - [i8]Nathaniel Hamilton, Kyle Dunlap, Kerianne L. Hobbs:
Investigating the Impact of Choice on Deep Reinforcement Learning for Space Controls. CoRR abs/2405.12355 (2024) - [i7]Kyle Dunlap, Kochise Bennett, David van Wijk, Nathaniel Hamilton, Kerianne Hobbs:
Run Time Assured Reinforcement Learning for Six Degree-of-Freedom Spacecraft Inspection. CoRR abs/2406.11795 (2024) - 2023
- [j2]Kyle Dunlap
, Mark Mote, Kaiden Delsing, Kerianne L. Hobbs:
Run Time Assured Reinforcement Learning for Safe Satellite Docking. J. Aerosp. Inf. Syst. 20(1): 25-36 (2023) - [c3]Umberto J. Ravaioli, Kyle Dunlap, Kerianne Hobbs:
A Universal Framework for Generalized Run Time Assurance with JAX Automatic Differentiation. ACC 2023: 4264-4269 - [i6]Kyle Dunlap, David van Wijk, Kerianne L. Hobbs:
Run Time Assurance for Autonomous Spacecraft Inspection. CoRR abs/2302.02885 (2023) - [i5]David van Wijk, Kyle Dunlap, Manoranjan Majji, Kerianne L. Hobbs:
Deep Reinforcement Learning for Autonomous Spacecraft Inspection using Illumination. CoRR abs/2308.02743 (2023) - 2022
- [j1]Kyle Dunlap, Michael Hibbard, Mark Mote, Kerianne Hobbs:
Comparing Run Time Assurance Approaches for Safe Spacecraft Docking. IEEE Control. Syst. Lett. 6: 1849-1854 (2022) - [c2]Kyle Dunlap, Kelly Cohen:
Hybrid Fuzzy-LQR Control for Time Optimal Spacecraft Docking. NAFIPS 2022: 52-62 - [i4]Nathaniel Hamilton, Kyle Dunlap, Taylor T. Johnson, Kerianne L. Hobbs:
Ablation Study of How Run Time Assurance Impacts the Training and Performance of Reinforcement Learning Agents. CoRR abs/2207.04117 (2022) - [i3]Kerianne L. Hobbs, Benjamin K. Heiner, Lillian Busse, Kyle Dunlap, Jonathan C. Rowanhill, Ashlie B. Hocking, Aditya Zutshi:
Systems Theoretic Process Analysis of a Run Time Assured Neural Network Control System. CoRR abs/2209.00552 (2022) - [i2]Umberto J. Ravaioli, Kyle Dunlap, Kerianne Hobbs:
A Universal Framework for Generalized Run Time Assurance with JAX Automatic Differentiation. CoRR abs/2209.01120 (2022) - 2021
- [c1]Kyle Dunlap, Kelly Cohen, Kerianne Hobbs:
Comparing the Explainability and Performance of Reinforcement Learning and Genetic Fuzzy Systems for Safe Satellite Docking. NAFIPS 2021: 116-129 - [i1]Kyle Dunlap, Michael Hibbard, Mark Mote, Kerianne Hobbs:
Comparing Run Time Assurance Approaches for Safe Spacecraft Docking. CoRR abs/2110.00447 (2021)
Coauthor Index
aka: Kerianne L. Hobbs
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