Andrea D'Ambrosio (Maggico)

Postdoctoral Associate
Andrea D'Ambrosio (Maggico)

77 Massachusetts Avenue, 33-207, Cambridge, MA 02139 USA

andreada@mit.edu

Andrea D’Ambrosio was born in Frosinone, Italy. He earned his bachelor’s degree in Aerospace Engineering from Sapienza University of Rome in 2015. At the same university, he obtained a master’s degree in Space and Astronautical Engineering in 2017. He started his Ph.D. program in Astronomy, Astrophysics, and Space Science at Sapienza University of Rome in 2018. From January to July 2020, and from January to July 2021, he is a visiting researcher at The University of Arizona in Tucson, where he started to collaborate with the SSEL, led by Prof. Roberto Furfaro. Since February 2022, he is a Postdoctoral Associate at Massachusetts Institute of Technology, Department of Aeronautics and Astronautics. His main research fields involve optimal guidance and control, space navigation, dynamics around large and small planetary bodies, satellite formation flying, artificial intelligence, and metaheuristics algorithms.

Degrees

  • PhD, Astronomy, Astrophysics, and Space Science, Sapienza University of Rome (2021)
  • MSc, Space and Astronautical Engineering, Sapienza University of Rome (2017)
  • BSc, Aerospace Engineering, Sapienza University of Rome (2015)
  • Diploma, Classical Piano, Licinio Refice Conservatory of Music, Frosinone (2016)

 

Publications

Journal Articles

  • Schiassi E., D’Ambrosio A., Drozd K., Curti F., Furfaro R., Physics-Informed Neural Networks for Optimal Planar Orbit Transfers, Journal of Spacecraft and Rockets, https://doi.org/10.2514/1.A35138

  • Scorsoglio A., D’Ambrosio A., Ghilardi L., Gaudet B., Curti F., Furfaro F., Image-based Deep Reinforcement Meta-Learning for Autonomous Lunar Landing, Journal of Spacecraft and Rockets, 2022, 59(1), https://doi.org/10.2514/1.A35072

  • De Florio, M.; Schiassi, E.; D’Ambrosio, A.; Mortari, D.; Furfaro, R., Theory of Functional Connections Applied to Linear ODEs Subject to Integral Constraints and Linear Ordinary Integro-Differential Equations, Mathematical and Computational Applications 2021, 26(3), 65; https://doi.org/10.3390/mca26030065

  • Schiassi, E.; De Florio, M.; D’Ambrosio, A.; Mortari, D.; Furfaro, R. Physics-Informed Neural Networks and Functional Interpolation for Data-Driven Parameters Discovery of Epidemiological Compartmental Models, Mathematics 2021, 9, 2069. https://doi.org/10.3390/math9172069

  • D’Ambrosio, A.; Carbone, A.; Spiller, D.; Curti, F., PSO-Based Soft Lunar Landing with Hazard Avoidance: Analysis and Experimentation, Aerospace 2021, 8, 195. https://doi.org/10.3390/aerospace8070195

  • D’Ambrosio A., Schiassi E., Curti F., Furfaro R., Pontryagin Neural Networks with Functional Interpolation for Optimal Intercept Problems, MDPI Mathematics 2021, 9(9), 996; https://doi.org/10.3390/math9090996

  • D'Ambrosio A., Spiller D., Curti F., Time suboptimal formation flying manoeuvres through improved magnetic charged system search, Advances in Space Research, Volume 67, Issue 11, 1 June 2021, Pages 3462-3477, https://doi.org/10.1016/j.asr.2020.05.013

  • Schiassi E., D’Ambrosio A., De Florio M., Furfaro R., Curti F., Physics-Informed Extreme Theory of Functional Connections Applied to Data-Driven Parameters Discovery of Epidemiological Compartmental Models, arXiv, Computational Physics, http://arxiv.org/abs/2008.05554

  • D'Ambrosio A., Spiller D., Curti F., Improved magnetic charged system search optimization algorithm with application to satellite formation flying, Engineering Applications of Artificial Intelligence, Volume 89, March 2020, https://doi.org/10.1016/j.engappai.2020.103473

  • Circi C., D'Ambrosio A., Lei H., Ortore E., Global mapping of asteroids by frozen orbits: The case of 216 kleopatra, Acta Astronautica, Volume 161, August 2019, Pages 101- 107, https://doi.org/10.1016/j.actaastro.2019.05.026

  • D'Ambrosio A., Circi C., Zeng X., Solar Photon Sail Hovering Orbits about Single and Binary Asteroids, Advances in Space Research, Volume 63, Issue 11, June 2019, Pages 3691- 3705, https://doi.org/10.1016/j.asr.2019.02.021

     

 

Conference Papers

  • Furfaro R., D’Ambrosio A., Schiassi E., Drozd K., Scorsoglio A., Physics-Informed Neural Networks for Closed-Loop Guidance and Control in Aerospace Systems, AIAA SciTech Forum 2022, San Diego (CA), 3-7 January 2022  

  • Federici L., Scorsoglio A., Ghilardi L., D'Ambrosio A., Benedikter B., Zavoli A., Furfaro R., Reinforcement Meta-Learning for Autonomous Image-Based Guidance around Binary Asteroid Systems, AIAA SciTech Forum 2022, San Diego (CA), 3-7 January 2022  

  • Carbone A., Agostinelli I., D’Ambrosio A., Curti F., Optimization of Hopping Trajectories for Asteroids Surface Exploration, 72nd International Astronautical Congress 2021, 25-29 October 2021, Dubai, United Arab Emirates

  • D’Ambrosio A., Schiassi E., Curti F., Furfaro R., Physics-Informed Neural Networks for Optimal Proximity Maneuvers with Collision Avoidance around Asteroids, 2021 AAS/AIAA Astrodynamics Specialist Conference – Big Sky, Montana, 09-11/08/2021

  • D’Ambrosio A., Conforti G., Agostinelli I., Curti F., Adaptive control for proximity maneuvers around asteroids using Extreme Learning Machine-based gravity field estimation, 31st AAS/AIAA Space Flight Mechanics Meeting, Virtual – Charlotte, North Carolina, Advances in Astronautical Science, vol. 176

  • D’Ambrosio A., Carbone A., Mastrofini M., Curti F., Optimal reference orbit tracking around asteroids via Particle Swarm Optimization and inverse dynamics technique, 31st AAS/AIAA Space Flight Mechanics Meeting, Virtual – Charlotte, North Carolina, Advances in Astronautical Science, vol. 176

  • Sena F., D’Ambrosio A., Curti F., Study on Interplanetary Trajectories towards Uranus and Neptune, 31st AAS/AIAA Space Flight Mechanics Meeting, Virtual – Charlotte, North Carolina, Advances in Astronautical Science, vol. 176

  • D’Ambrosio A., Schiassi E., Curti F., Furfaro R., Physics-Informed Neural Networks Applied to a Series of Constrained Space Guidance Problems, 31st AAS/AIAA Space Flight Mechanics Meeting, Virtual – Charlotte, North Carolina, Advances in Astronautical Science, vol. 176

  • Schiassi E., D’Ambrosio A., Scorsoglio A., Furfaro R., Curti F., Class of Optimal Space Guidance Problems solved via Indirect Methods and Physics-Informed Neural Networks, 31st AAS/AIAA Space Flight Mechanics Meeting, Virtual – Charlotte, North Carolina, Advances in Astronautical Science, vol. 176

  • Ghilardi L., D’Ambrosio A., Scorsoglio A., Furfaro R., Curti F., Image-Based Lunar Landing Hazard Detection via Deep Learning, 31st AAS/AIAA Space Flight Mechanics Meeting, Virtual – Charlotte, North Carolina, Advances in Astronautical Science, vol. 176

  • Schiassi, E., D'Ambrosio, A., Scorsoglio, A., Furfaro, R., Curti, F., Class of Optimal Space Guidance Problems solved via Indirect Methods and Physics-Informed Neural Networks. AAS 21-258, 31st AAS/AIAA Space Flight Mechanics Meeting. PDF, Presentation PDF

  • Ghilardi, L., D'Ambrosio, A., Scorsoglio, A., Furfaro, R., Curti, F., Image-Based Lunar Landing Hazard Detection via Deep Learning. AAS 21-249, 31st AAS/AIAA Space Flight Mechanics Meeting. PD
  • D'Ambrosio, A., Schiassi, E., Curti, F., Furfaro, R., Physics-Informed Neural Networks Applied to a Series of Constrained Space Guidance Problems. AAS 21-259, 31st AAS/AIAA Space Flight Mechanics Meeting. PDF, Presentation PDF
  • Schiassi, E., D'Ambrosio, A., Furfaro, R., Curti, F., Physics-Informed Neural Networks for Optimal Intercept Problem. IAA-AAS-SciTech2020-76, 3-rd IAA-AAS SciTech Forum on Space Flight Mechanics and Space Structures. PDF, Presentation PDF
  • Schiassi, E., D'Ambrosio, A., Johnston, H., Furfaro, R., Curti, F., Mortari, D., Complete Energy Optimal Landing on Small and Large Planetary Bodies via Theory of Functional Connections. AAS 20-557, AAS/AIAA Astrodynamics Specialist Conference, Lake Tahoe, CA, August 9-13, 2020. PDF
  • Scorsoglio, A., D'Ambrosio, A., Ghilardi, L., Furfaro, R., Gaudet, B., Linares, R., Curti, F., Safe lunar landing via images: a reinforcement meta-learning application to autonomous hazard avoidance and landing. AAS 20-522, AAS/AIAA Astrodynamics Specialist Conference, Lake Tahoe, CA, August 9-13, 2020. PDF
  • Ghilardi, L., D'Ambrosio, A., Scorsoglio, A., Furfaro, R., Linares, R., Curti, F., Image-based Optimal Powered Descent Guidance via Deep Recurrent Imitation Learning. AAS 20-587, AAS/AIAA Astrodynamics Specialist Conference, Lake Tahoe, CA, August 9-13, 2020. PDF
  • Schiassi, E., D'Ambrosio, A., Johnston, H., De Florio, M., Drozd, K., Furfaro, R., Curti, F., Mortari, D., Physics-Informed Extreme Theory of Functional Connections Applied to Optimal Orbit Transfer. AAS 20-524, AAS/AIAA Astrodynamics Specialist Conference, Lake Tahoe, CA, August 9-13, 2020. PDF

 

 

Conference Posters

  • Los Alamos - Arizona days, Online Workshop, 18-19 May 2020. Physics-Informed Solution of Optimal Control Problems via Extreme Theory of Functional Connections. Poster PDF