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个人简介
Kyle Dunlap is a graduate student in Aerospace Engineering at the University of Cincinnati. His research interests are Real-Time Safety Assurance, Safety Critical Control, Autonomous Systems, Reinforcement Learning, and Genetic Fuzzy Systems. His previous experience includes developing control-based fault detection and mitigation strategies for electrified aircraft propulsion systems, applying deep reinforcement learning to safe autonomous spacecraft docking, and developing real-time safety assurance techniques for spacecraft docking. Kyle received his BS in Aerospace Engineering from the University of Cincinnati.
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CoRR (2024)
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CoRR (2024): 1-12
CoRR (2024)
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arxiv(2024)
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CoRR (2023)
CoRR (2023)
2023 AMERICAN CONTROL CONFERENCE, ACC (2023): 4264-4269
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