| Run time assured reinforcement learning for safe satellite docking K Dunlap, M Mote, K Delsing, KL Hobbs Journal of Aerospace Information Systems, 1-12, 2022 | 32 | 2022 |
| Safe reinforcement learning benchmark environments for aerospace control systems UJ Ravaioli, J Cunningham, J McCarroll, V Gangal, K Dunlap, KL Hobbs 2022 IEEE Aerospace Conference (AERO), 1-20, 2022 | 29 | 2022 |
| Comparing Run Time Assurance Approaches for Safe Spacecraft Docking K Dunlap, M Hibbard, M Mote, K Hobbs IEEE Control Systems Letters 6, 1849-1854, 2021 | 18 | 2021 |
| Ablation study of how run time assurance impacts the training and performance of reinforcement learning agents N Hamilton, K Dunlap, TT Johnson, KL Hobbs 2023 IEEE 9th International Conference on Space Mission Challenges for …, 2023 | 9 | 2023 |
| Systems Theoretic Process Analysis of a Run Time Assured Neural Network Control System KL Hobbs, B Heiner, L Busse, K Dunlap, J Rowanhill, AB Hocking, ... AIAA SCITECH 2023 Forum, 2664, 2023 | 6 | 2023 |
| Run Time Assurance for Autonomous Spacecraft Inspection K Dunlap, D van Wijk, KL Hobbs arXiv preprint arXiv:2302.02885, 2023 | 5 | 2023 |
| Considerations for the Extension of Gas Path Analysis to Electrified Aircraft Propulsion Systems DL Simon, R Thomas, KM Dunlap Journal of Engineering for Gas Turbines and Power 144 (3), 031004, 2022 | 5 | 2022 |
| Deep Reinforcement Learning for Autonomous Spacecraft Inspection using Illumination D van Wijk, K Dunlap, M Majji, KL Hobbs arXiv preprint arXiv:2308.02743, 2023 | 4 | 2023 |
| Run Time Assurance for Intelligent Aerospace Control Systems K Dunlap University of Cincinnati, 2022 | 4 | 2022 |
| A Universal Framework for Generalized Run Time Assurance with JAX Automatic Differentiation UJ Ravaioli, K Dunlap, K Hobbs 2023 American Control Conference (ACC), 4264-4269, 2023 | 3 | 2023 |
| Comparing the explainability and performance of reinforcement learning and genetic fuzzy systems for safe satellite docking K Dunlap, K Cohen, K Hobbs Explainable AI and Other Applications of Fuzzy Techniques: Proceedings of …, 2022 | 2 | 2022 |
| Collision Avoidance and Geofencing for Fixed-wing Aircraft with Control Barrier Functions TG Molnar, SK Kannan, J Cunningham, K Dunlap, KL Hobbs, AD Ames arXiv preprint arXiv:2403.02508, 2024 | 1 | 2024 |
| Run Time Assurance for Simultaneous Constraint Satisfaction During Spacecraft Attitude Maneuvering CK McQuinn, K Dunlap, N Hamilton, J Wilson, KL Hobbs arXiv preprint arXiv:2402.14723, 2024 | 1 | 2024 |
| Hybrid Fuzzy-LQR Control for Time Optimal Spacecraft Docking K Dunlap, K Cohen North American Fuzzy Information Processing Society Annual Conference, 52-62, 2022 | 1 | 2022 |
| Investigating the Impact of Choice on Deep Reinforcement Learning for Space Controls N Hamilton, K Dunlap, KL Hobbs arXiv preprint arXiv:2405.12355, 2024 | | 2024 |
| Space Processor Computation Time Analysis for Reinforcement Learning and Run Time Assurance Control Policies K Dunlap, N Hamilton, F Viramontes, D Landauer, E Kain, KL Hobbs arXiv preprint arXiv:2405.06771, 2024 | | 2024 |
| Demonstrating Reinforcement Learning and Run Time Assurance for Spacecraft Inspection Using Unmanned Aerial Vehicles K Dunlap, N Hamilton, Z Lippay, M Shubert, S Phillips, KL Hobbs arXiv preprint arXiv:2405.06770, 2024 | | 2024 |
| 1D Spacecraft Docking Example (Preprint) KL Hobbs, J Cunningham, J McCarroll, UJ Ravaioli, K Dunlap, X Chen | | 2022 |
| Considerations for the Extension of Gas Path Analysis To Electrified Aircraft Propulsion Systems DL Simon, R Thomas, KM Dunlap Turbo Expo: Power for Land, Sea, and Air 84966, V004T05A001, 2021 | | 2021 |
