93 Publications (Page 2 of 4)
2022
Satellite Tycoon: Modeling Economic Competition in the Business of P-LEO Constellations
Thermal Analysis of Lunar Surface Habitats based on Geographic PlacementDemny, R. and Guzzetti, D.
2021
AN ASSESSMENT OF VIRTUAL REALITY TECHNOLOGY FOR ASTRODYNAMICS APPLICATIONSGuzzetti, D.⋅Somavarapu, D.H. and Turner, G.(pp. 4775-4794)
AUTONOMOUS SMALL BODY GRAVIMETRY VIA A2C PATH-PLANNINGIndaco, M.⋅Lavagna, M. and Guzzetti, D.(pp. 1741-1759)
DEEP REINFORCEMENT LEARNING TO ENHANCE FLY-AROUND GUIDANCE FOR UNCOOPERATIVE SPACE OBJECTS SMART IMAGINGBrandonisio, A.⋅Lavagna, M. and Guzzetti, D.(pp. 211-230)
Design and Analysis of Deployment Mechanics for a Self-Folding, Spiral Based Space-Borne InterferometerParmar, K.⋅Indaco, M.⋅Long, R.⋅Taylor, W.⋅Adkins, N.⋅Singla, D.⋅Mailen, R.W. and Guzzetti, D.
Graph neural networks for simulating crack coalescence and propagation in brittle materialsPerera, R.⋅Guzzetti, D. and Agrawal, V.
Interactive imitation learning for spacecraft path-planning in binary asteroid systemsParmar, K. and Guzzetti, D.(pp. 1928-1951)
Introducing Chaos in Elementary School; a Precursor for Multibody DynamicsBusato, J.E.⋅Miskioglu, E.⋅Martin, K.M. and Guzzetti, D.
Optimized and autonomous machine learning framework for characterizing pores, particles, grains and grain boundaries in microstructural imagesPerera, R.⋅Guzzetti, D. and Agrawal, V.
Optimized and autonomous machine learning framework for characterizing pores, particles, grains and grain boundaries in microstructural imagesPerera, Roberto⋅Perera, R.⋅Guzzetti, Davide⋅Guzzetti, D.⋅Agrawal, V. and Agrawal, Vinamra
Reinforcement Learning for Uncooperative Space Objects Smart Imaging Path-PlanningBrandonisio, A.⋅Lavagna, M. and Guzzetti, D.(pp. 1145-1169)
Resilience and Performance of Deployable Space Structures Based on a Shape Memory Polymer BusSingla, D.⋅Long, R.⋅Parmar, K.⋅Indaco, M.⋅Taylor, W.⋅Adkins, N.⋅Guzzetti, D. and Mailen, R.W.
Time-Varying Shadows of Quasi-Periodic Motion Across Sections of the Flow Within Nearly Time-Periodic Three-Body DynamicsGuzzetti, D. and Baoyin, H.(pp. 855-890)
Toward Co-Evolving Solutions of Adversarial Ground Stations Transit Time Games For P-LEO Constellation Management
Toward immersive spacecraft trajectory design: Mapping user drawings to natural periodic orbitsSomavarapu, D.H. and Guzzetti, D.(pp. 208-221)
Virtual-Reality-Based Astrodynamics Applications using A-Frame: A TutorialSomavarapu, D.H.⋅Landon, P.D.⋅Busato, J.⋅Kaiser, M.A.⋅Martin, K.M.⋅Miskioglu, E.M. and Guzzetti, D.
Work Capacity of Self-Folding Polymer OrigamiLong, R.⋅Singla, D.⋅Parmar, K.⋅Indaco, M.⋅Taylor, W.⋅Adkins, N.⋅Guzzetti, D. and Mailen, R.W.
2020
Adversarial threats to large satellite networks (ATLAS-N): A coevolutionary approach based on FlipItPatel, J.⋅Somavarapu, D.H.⋅Seals, D.⋅Tauritz, D.R. and Guzzetti, D.(pp. 1503–1511)
An Assessment of Virtual Reality Technology for Astrodynamics ApplicationsGuzzetti, D.⋅Somavarapu, D.H. and Turner, G.
Autonomous Small Body Gravimetry Via A2C Path-PlanningIndaco, M.⋅Lavagna, M. and Guzzetti, D.
Centaur Environment and Surface Activity Measurement Experiment (Cesame)Hirabayashi, M.⋅Bodewits, D.⋅Hewagama, T.⋅Soderblom, J.M.⋅Steckloff, J.⋅Heggy, E.⋅Guzzetti, D.⋅Zacny, K.⋅Brinckerhoff, W.B.⋅Park, R.S. and Moghaddam, M.
Deep Reinforcement Learning to Enhance Fly-Around Guidance For Uncooperative Space Objects Smart ImagingBrandonisio, A.⋅Lavagna, M. and Guzzetti, D.
Multi-revolution low-thrust trajectory optimization using symplectic methods
ZhiBo, E. and Guzzetti, D.
Science China Technological Sciences, vol. 63, pp. 506-519. | Journal Article
Path planning for asteroid hopping rovers with pre-trained deep reinforcement learning architectures
Jiang, J.⋅Zeng, X.⋅Guzzetti, D. and You, Y.
Acta Astronautica, vol. 171, pp. 265-279. | Journal Article