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Kevin PT Haughn
Kevin PT Haughn
United States Army Research Laboratory
Verified email at army.mil
Title
Cited by
Cited by
Year
Sensory Adaptation in Biomolecular Memristors Improves Reservoir Computing Performance
JJ Maraj, KPT Haughn, DJ Inman, SA Sarles
Advanced Intelligent Systems 5 (8), 2300049, 2023
102023
Deep reinforcement learning achieves multifunctional morphing airfoil control
KPT Haughn, LL Gamble, DJ Inman
Journal of Composite Materials 57 (4), 721-736, 2023
92023
Horizontal planform morphing tail for an avian inspired UAV using shape memory alloys
KPT Haughn, LL Gamble, DJ Inman
Smart Materials, Adaptive Structures and Intelligent Systems 51951, V002T06A003, 2018
62018
Autonomous learning in a pseudo-episodic physical environment
KPT Haughn, DJ Inman
Journal of Intelligent & Robotic Systems 104 (2), 32, 2022
52022
Si-based self-programming neuromorphic integrated circuits for intelligent morphing wings
D Nathan, A Deo, K Haughn, S Yi, J Lee, D Gao, R Shenoy, M Xu, IC Tran, ...
Journal of Composite Materials 56 (30), 4561-4575, 2022
42022
MFC Morphing Aileron Control With Intelligent Sensing
KPT Haughn, LL Gamble, DJ Inman
Smart Materials, Adaptive Structures and Intelligent Systems 86274, V001T03A013, 2022
22022
Nature, smart structures, and morphing UAVs
DJ Inman, KPT Haughn, C Harvey
Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2023
12023
Deep reinforcement learning reveals fewer sensors are needed for autonomous gust alleviation
K Haughn, C Harvey, DJ Inman
arXiv preprint arXiv:2304.03133, 2023
12023
Deep learning reduces sensor requirements for gust rejection on a small uncrewed aerial vehicle morphing wing
KPT Haughn, C Harvey, DJ Inman
Communications Engineering 3 (1), 53, 2024
2024
Spanwise camber morphing offers potential efficiency gains during autonomous gust rejection
K Haughn
AIAA SCITECH 2024 Forum, 1124, 2024
2024
Intelligence for Morphing Aircraft
K Haughn
2022
Tap, tap, tap: three is plenty for windy flight
KPT Haughn
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Articles 1–12