CIRO Lab at the University of South FloridaResearch opportunities at the CIRO Lab

Publications

Journal papers, preprints, conference proceedings, and presentations.

The complete CIRO publication record, organized by type and year.

Complete record

Journal papers

30 entries

2026

  1. 01

    Conti, M., D’Ambrosio, A., Circi, C., Furfaro, R., 2025. Pontryagin Neural Networks for High-Fidelity Cislunar Orbital Transfers, Journal of Guidance, Control, and Dynamics, Vol. 49, No. 7 (2026), pp. 1914-1926 DOI ↗

2025

  1. 01

    Ramponi L., D’Ambrosio A., Cipollone R., De Riz A., Furfaro R., Reddy V., Di Lizia P., 2025. A Pontryagin Neural Network Application to Tracklets Correlation of Optical Observations, Acta Astronautica 238 (2026) 580–597 DOI ↗

  2. 02

    Scorsoglio, A., D’Ambrosio, A., Le Corre, L., Gray, B., Reddy, V., Furfaro, R., 2025. Physics-Informed Orbit Determination for X-GEO Space Situational Awareness, Acta Astronautica 238 (2026) 271–285 DOI ↗

  3. 03

    D’Ambrosio, A., Benedikter, B., Furfaro, R., 2025. Physics-Informed Pontryagin Neural Networks for Path-Constrained Optimal Control Problems, Journal of Guidance, Control, and Dynamics, Vol. 48, No. 8 (2025), pp. 1861-1877 (JGCD Editor's Choice papers) DOI ↗

  4. 04

    Jang, D., Gusmini, D., Siew, P.M., D’Ambrosio, A., Servadio, S., Machuca, P., Linares, R., 2025. A New Monte-Carlo Model for the Space Environment. Journal of Spacecraft and Rockets DOI ↗

2024

  1. 01

    Federici, L., D’Ambrosio, A., Furfaro, R., and Reddy, V, 2024. Optimal Sensor Tasking for Space Domain Awareness Via a Beam A*-Search Algorithm. The Journal of the Astronautical Sciences 71, 34 (2024) DOI ↗

  2. 02

    Drozd K., Roberto F., and D’Ambrosio A., 2024. A Theory of Functional Connections-Based hp-Adaptive Mesh Refinement Algorithm for Solving Hypersensitive Two-Point Boundary-Value Problems, Mathematics 12(9):1360:1–1360:35 DOI ↗

  3. 03

    D’Ambrosio A., and Linares R., 2024. Carrying Capacity of Low Earth Orbit Computed Using Source-Sink Models, Journal of Spacecraft and Rockets, Vol. 61, No. 6 (2024), pp. 1447-1463 DOI ↗

  4. 04

    D’Ambrosio A., Furfaro R., 2024. Learning Fuel-Optimal Trajectories for Space Applications via Pontryagin Neural Networks, Aerospace, 11(3):228 DOI ↗

  5. 05

    Gusmini D., D’Ambrosio A., Servadio S., Siew P.M., Di Lizia P., Linares R., 2024. Effects of Orbit Raising and Deorbiting in Source-Sink Evolutionary Models, Journal of Spacecraft and Rockets DOI ↗

2023

  1. 01

    Servadio S., Simha N., Gusmini D., Jang D., Francis T. St., D’Ambrosio A., Lavezzi G., Linares R., 2023. A Risk Index For The Optimal Ranking Of Active Debris Removal Targets, Journal of Spacecraft and Rockets DOI ↗

  2. 02

    Drozd K., Furfaro R., Schiassi E., D’Ambrosio A., 2023. Physics-Informed Neural Networks and Functional Interpolation for Solving the Matrix Differential Riccati Equation, Mathematics, 2023, 11(17), 3635 DOI ↗

  3. 03

    Ribeiro T., D’Ambrosio A., Calabuig G.J.D., Athanasopoulos D., Bates H., Riegler C., Gassot O., Gerig S.B., Gómez-González J.L., Huber N., Seton R., Magalhães T.E.C., 2023. A near-Earth D-type asteroid sample return mission, Acta Astronautica DOI ↗

  4. 04

    D’Ambrosio A., Carbone A., Curti F., 2023. Optimal Maneuvers Around Binary Asteroids Using Particle Swarm Optimization and Machine Learning, Journal of Spacecraft and Rockets DOI ↗

  5. 05

    D’Ambrosio A., Servadio S., Siew P.M., Linares R., 2023. A novel source-sink model for space environment evolution with orbit capacity assessment, Journal of Spacecraft and Rockets DOI ↗

2022

  1. 01

    Giovannelli L., Berrilli F., Casolino M., Curti F., Del Moro D., Calchetti D., Cantoresi M., D'Ambrosio A., Francisco G., Giobbi P., Marcelli L., Mazzotta P., Mugatwala R., Pucacco G., Reda R., Dhara S.K., Tombesi F., Blandino D., Benigno N., Cilia M., Di Salvo A., Di Tana V., Ingiosi F., Loddo S., Marmonti M., Musazzi M., Simonetti S., Truscelli G, 2022. Sun CubE OnE: A Multi-wavelength Synoptic Solar Micro Satellite, Advances in Space Research DOI ↗

  2. 02

    Schiassi E., D’Ambrosio A., Furfaro R., 2022. Bellman Neural Networks for the Class of Optimal Control Problems with Integral Quadratic Cost, IEEE Transactions on Artificial Intelligence DOI ↗

  3. 03

    D’Ambrosio A., Henderson T., Clocchiatti A., Mortari D., 2022. Constrained Optimization of n-Impulse Periodic Close Encounter Orbits for Inspection Missions, Advances in Space Research, Volume 70, Issue 11, 1 December 2022, Pages 3393-3404 DOI ↗

  4. 04

    Federici L., Scorsoglio A., Ghilardi L., D’Ambrosio A., Benedikter B., Zavoli A., Furfaro R., 2022. Image-based Meta-Reinforcement Learning for Autonomous Guidance of an Asteroid Impactor, Journal of Guidance, Control and Dynamics DOI ↗

  5. 05

    D’Ambrosio A., Schiassi E., Johnston H., Curti F., Mortari D., Furfaro R., Time-Energy Optimal Landing on Planetary Bodies via Theory of Functional Connections, Advances in Space Research, Volume 69, Issue 12, June 2022, Pages 4198- 4220 DOI ↗

  6. 06

    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, 2022, 59(3) DOI ↗

  7. 07

    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) DOI ↗

2021

  1. 01

    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 DOI ↗

  2. 02

    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 DOI ↗

  3. 03

    D’Ambrosio, A.; Carbone, A.; Spiller, D.; Curti, F., PSO-Based Soft Lunar Landing with Hazard Avoidance: Analysis and Experimentation, Aerospace 2021, 8, 195 DOI ↗

  4. 04

    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 DOI ↗

  5. 05

    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 DOI ↗

2020

  1. 01

    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 DOI ↗

2019

  1. 01

    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 DOI ↗

  2. 02

    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 DOI ↗

Complete record

Preprints

2 entries

2022

  1. 01

    D’Ambrosio, A., Lifson, M. and Linares, R., 2022. The Capacity of Low Earth Orbit Computed using Source-sink Modeling. arXiv preprint arXiv:2206.05345 arXiv ↗

2020

  1. 01

    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, arXiv:2008.05554 arXiv ↗

Complete record

Conference proceedings

48 entries

2026

  1. 01

    D’Ambrosio A., Scorsoglio A., Furfaro R., 2026. Uncertainty Quantification in Physics-Informed Orbit Determination for Space Domain Awareness, Advanced Maui Optical and Space Surveillance Technologies (AMOS) Conference, Maui, Hawaii (USA), September 15-18, 2026

  2. 02

    Giannitti M., D’Ambrosio A., Angeletti F., 2026. Autonomous Rendezvous and Docking of Flexible Spacecrafts via Reinforcement Learning, 2026 AAS/AIAA Astrodynamics Specialist Conference, 26 July 2026 – 30 July 2026, Hilton Whistler Resort & Spa, Whistler, British Columbia, Canada

  3. 03

    Ramponi L., Benedikter B., D’Ambrosio A., Furfaro R., 2026. Transformer-based Light Curve Inversion for Spacecraft Attitude Classification and Estimation from Photometric Data, 2026 AAS/AIAA Astrodynamics Specialist Conference, 26 July 2026 – 30 July 2026, Hilton Whistler Resort & Spa, Whistler, British Columbia, Canada

  4. 04

    Gupta K., D’Ambrosio A., Furfaro R., 2026. Physics-informed Transformer based Neural Operator for xGEO Initial Orbit Determination, 2026 AAS/AIAA Astrodynamics Specialist Conference, 26 July 2026 – 30 July 2026, Hilton Whistler Resort & Spa, Whistler, British Columbia, Canada

  5. 05

    D’Ambrosio A., Scorsoglio A., Furfaro R., 2026. Stability Certification of Reinforcement Learning Agents for Aerospace Control Problems, Workhop “AI-driven Approaches for Space Applications: Challenges, Opportunities, and Interdisciplinary Perspectives” within the 6th International Symposium on Dynamic Response and Failure of Composite Materials, June 16, 2026, Island of Ischia (Naples, Italy).

  6. 06

    Conti, M., D’Ambrosio A., Circi, C. PX-TFC: A Novel Physics-informed Machine Learning Framework to Solve Stochastic Optimal Control Problems, Workhop “AI-driven Approaches for Space Applications: Challenges, Opportunities, and Interdisciplinary Perspectives” within the 6th International Symposium on Dynamic Response and Failure of Composite Materials, June 16, 2026, Island of Ischia (Naples, Italy)

  7. 07

    Ramponi L., Benedikter B., D’Ambrosio A., Furfaro R., 2026. PI-DeepONet for Attitude and Angular Velocity Estimation from Photometric Data, Workhop “AI-driven Approaches for Space Applications: Challenges, Opportunities, and Interdisciplinary Perspectives” within the 6th International Symposium on Dynamic Response and Failure of Composite Materials, June 16, 2026, Island of Ischia (Naples, Italy)

2025

  1. 01

    Scorsoglio A., D’Ambrosio A., Furfaro R., 2025. Stability Certification of Reinforcement Learning-Based Control for Aerospace Applications, 2025 AAS/AIAA Space Flight Mechanics Meeting, 19-23 January 2025, Kaua'I, Hawaii, USA

  2. 02

    Benedikter B., D’Ambrosio A., Scorsoglio A., Furfaro R., Vasile M., 2025. Physics-Informed Machine Learning for Attitude Estimation from Light Curves, 2025 AAS/AIAA Space Flight Mechanics Meeting, 19-23 January 2025, Kaua'I, Hawaii, USA

  3. 03

    D’Ambrosio A., Scorsoglio A., Furfaro R., Reddy V., 2025. Physics-Informed Orbit Determination for X-GEO Objects Maneuver Estimation: The Peregrine Spacecraft Case Study, 2025 AAS/AIAA Space Flight Mechanics Meeting, 19-23 January 2025, Kaua'I, Hawaii, USA

  4. 04

    D’Ambrosio A., Furfaro R., 2025. Pontryagin Neural Networks and Artificial Potential Functions for Safe Trajectory Optimization, 2025 AAS/AIAA Space Flight Mechanics Meeting, 19-23 January 2025, Kaua'I, Hawaii, USA

  5. 05

    D’Ambrosio A., Benedikter B., Furfaro R., 2025. Physics-Informed Pontryagin Neural Networks for Path-Constrained Optimal Control Problems, 2025 AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum), 6 January - 10 January 2025, Hyatt Regency Orlando, 9801 International Drive, Orlando, Florida, USA DOI ↗

  6. 06

    Benedikter B., D’Ambrosio A., Furfaro R., 2025. Rocket Ascent Trajectory Optimization via Physics-Informed Pontryagin Neural Networks, 2025 AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum), 6 January - 10 January 2025, Hyatt Regency Orlando, 9801 International Drive, Orlando, Florida, USA DOI ↗

2024

  1. 01

    Ramponi L., D’Ambrosio A., Cipollone R., De Riz A., Furfaro R., Reddy V., Di Lizia P., 2024. A Pontryagin Neural Network Application to Tracklets Correlation of Optical Observations, 75th International Astronautical Congress (IAC), Milan, Italy, October 14-18, 2024 DOI ↗

  2. 02

    D’Ambrosio A., Scorsoglio A., Battle A., Furfaro R., Reddy V., 2024. Machine Learning-based Light Curves Brightness Prediction for Space Objects in the Geostationary Belt, 2024 AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum), 8 January - 12 January 2024, Hyatt Regency Orlando, 9801 International Drive, Orlando, Florida, USA DOI ↗

  3. 03

    Scorsoglio A., D’Ambrosio A., Cambell T., Furfaro R., Reddy V., 2024. Orbit determination pipeline for geostationary objects using physics-informed neural networks, 2024 AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum), 8 January - 12 January 2024, Hyatt Regency Orlando, 9801 International Drive, Orlando, Florida, USA DOI ↗

  4. 04

    Furfaro R., D’Ambrosio A., 2024. Increasing Autonomy of Aerospace Systems via PINN-based Solutions of HJB Equation, 2024 AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum), 8 January - 12 January 2024, Hyatt Regency Orlando, 9801 International Drive, Orlando, Florida, USA DOI ↗

2023

  1. 01

    Federici L., D’Ambrosio A., Furfaro R., Reddy V., 2023. Optimal Sensor Tasking for Space Domain Awareness via a Beam A*-Search Algorithm, Advanced Maui Optical and Space Surveillance Technologies (AMOS) Conference, Maui, Hawaii (USA), September 19-22, 2023 DOI ↗

  2. 02

    Scorsoglio A., D’Ambrosio A., Ghilardi L., Furfaro R., Reddy V., 2023. Physics-Informed Orbit Determination for Cislunar Space Applications, Advanced Maui Optical and Space Surveillance Technologies (AMOS) Conference, Maui, Hawaii (USA), September 19-22, 2023 DOI ↗

  3. 03

    Federici L., D’Ambrosio A., Furfaro R., Vishnu R., 2023. An A*-Search Approach to Optimal Telescope Tasking for Space Domain Awareness, 2023 AAS/AIAA Astrodynamics Specialist Conference, Big Sky, Montana, 13-17 August

  4. 04

    D’Ambrosio A., Scorsoglio A., Ghilardi L., Furfaro R., Vishnu R., 2023. State estimation with angle-only observations in cislunar space via physics-informed neural network, 2023 AAS/AIAA Astrodynamics Specialist Conference, Big Sky, Montana, 13-17 August

  5. 05

    Goracci G., D’Ambrosio A., Curti F., 2023. Machine Learning-aided Satellite Navigation through Extended Kalman Filter using Magnetometer Measurements, 2023 AAS/AIAA Astrodynamics Specialist Conference, Big Sky, Montana, 13-17 August

  6. 06

    Gusmini D., D’Ambrosio A., Servadio S., Siew P.M., Di Lizia P., Linares R., 2023. The effects of orbit raising and decay in orbital capacity models, 33rd AAS/AIAA Space Flight Mechanics Meeting, Austin, Texas, January 15-19

  7. 07

    Jang D., Gusmini D., Siew P.M., D’Ambrosio A., Servadio S., Machuca P., Linares R., 2023. Monte Carlo methods to model the evolution of the Low Earth Orbit population, 33rd AAS/AIAA Space Flight Mechanics Meeting, Austin, Texas, January 15-19

  8. 08

    Servadio S., Francis T. St., Simha N., Gusmini D., Jang D., D’Ambrosio A., Linares R., 2023. Optimal Target Selection for an Active Debris Removal Mission, 33rd AAS/AIAA Space Flight Mechanics Meeting, Austin, Texas, January 15-19

2022

  1. 01

    D’Ambrosio A., Lifson M., Jang D., Pasiecznik C., Linares R., 2022. Projected Orbital Demand and LEO Environmental Capacity, Advanced Maui Optical and Space Surveillance Technologies (AMOS) Conference, Maui, Hawaii (USA), September 27-30, 2022

  2. 02

    Jang D., D’Ambrosio A., Lifson M., Pasiecznik C., Linares R., 2022. Stability of the LEO Environment as a Dynamical System, Advanced Maui Optical and Space Surveillance Technologies (AMOS) Conference, Maui, Hawaii (USA), September 27-30, 2022

  3. 03

    Pasiecznik C., D’Ambrosio A., Jang D., Linares R., 2022. A Dynamical Systems Analysis of the Effects of the Launch Rate Distribution on the Stability of a Source-Sink Orbital Debris Model, 73rd International Astronautical Congress (IAC), Paris, France, September 18-22, 2022

  4. 04

    Agostinelli I., D’Ambrosio A., Conforti G., Curti F., 2022. Optimization of Flower Constellation Applied to Cislunar Environment Observations, 73rd International Astronautical Congress (IAC), Paris, France, September 18-22, 2022

  5. 05

    Schiassi E., D’Ambrosio A., Furfaro R., 2022. Overview of X-TFC Applications for Aerospace Optimal Control Problems, 2nd International Conference on Applied Intelligence and Informatics 2022 – University Mediterranea of Reggio Calabria, Reggio Calabria, IT, 01-03 September (Best Paper Award)

  6. 06

    D’Ambrosio A., Servadio S., Siew P.M., Jang D., Lifson M., Linares R., 2022. Analysis of the LEO orbital capacity via probabilistic evolutionary model, 2022 AAS/AIAA Astrodynamics Specialist Conference – Charlotte (NC), USA, 07-11 August

  7. 07

    Lifson M., D’Ambrosio A., Arnas D., Linares R., 2022. How Many Satellites Can We Fit in Low Earth Orbit?: Capacity integrating Risk-based and Intrinsic Methods, 2022 AAS/AIAA Astrodynamics Specialist Conference – Charlotte (NC), USA, 07-11 August

  8. 08

    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 DOI ↗

  9. 09

    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 DOI ↗

2021

  1. 01

    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

  2. 02

    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

  3. 03

    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

  4. 04

    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

  5. 05

    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

  6. 06

    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

  7. 07

    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

  8. 08

    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

2020

  1. 01

    Schiassi E., D’Ambrosio A., Furfaro R., Curti F., Physics-Informed Neural Networks for Optimal Intercept Problem, 3-rd IAAAAS SciTech Forum 2020 on Space Flight Mechanics and Space Structures – Moscow, Russia

  2. 02

    Scorsoglio A., D’Ambrosio A., Ghilardi L., Furfaro R., Gaudet B., Linares R., Curti F., Safe lunar landing via images: a reinforcement meta-learning implementation for autonomous hazard avoidance and landing, 2020 AAS/AIAA Astrodynamics Specialist Conference - Lake Tahoe, California, Advances in Astronautical Science, vol. 175

  3. 03

    Ghilardi L., D’Ambrosio A., Scorsoglio A., Furfaro R., Linares R., Curti F., Image-based optimal powered descent guidance via deep recurrent imitation learning, 2020 AAS/AIAA Astrodynamics Specialist Conference - Lake Tahoe, California, Advances in Astronautical Science, vol. 175

  4. 04

    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, 2020 AAS/AIAA Astrodynamics Specialist Conference - Lake Tahoe, California, Advances in Astronautical Science, vol. 175

  5. 05

    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, 2020 AAS/AIAA Astrodynamics Specialist Conference - Lake Tahoe, California, Advances in Astronautical Science, vol. 175

2019

  1. 01

    D’Ambrosio A., Spiller D., Curti F., A self-adaptive magnetic charged system search for time-suboptimal formation flying manoeuvres, Conference Paper, 10th International Workshop on Satellite Constellations and Formation Flying (IWSCFF19), University of Strathclyde, Glasgow, July 2019

Complete record

Abstracts and presentations

14 entries

2026

  1. 01

    Ramponi L., Benedikter B., D’Ambrosio A., Furfaro R., 2026. PI-DeepONet for Attitude and Angular Velocity Estimation from Photometric Data, 6th International Symposium on Dynamic Response and Failure of Composite Materials (15-19 June 2026), Hotel Hermitage & Park Terme, Island of Ischia (Naples, Italy)

2025

  1. 01

    Gupta K., D’Ambrosio A., Scorsoglio A., Furfaro R. 2025. Physics-informed Deep Neural Operators for xGEO Angles-only Initial Orbit Determination, Daniele Mortari Astronautics Symposium, 11-12 December 2025, College Station, Texas (USA)

  2. 02

    Lersch, R., Campbell, T., D’Ambrosio A., Battle, A., Pearson, N.C., Furfaro, R., Reddy, V. 2025. Spectrally Dominated Satellite Buses as a Test-Case for Spectral Unmixing Algorithms, AFRL 6th Annual Voltron Meeting – 2025, 4-6 February 2025, Albuquerque, New Mexico (USA)

  3. 03

    D’Ambrosio A., Benedikter B., Reddy V., Furfaro R., 2025. H-G System Light Curve Representation for Artificial GEO Objects, AFRL 6th Annual Voltron Meeting – 2025, 4-6 February 2025, Albuquerque, New Mexico (USA)

2024

  1. 01

    D’Ambrosio A., Scorsoglio A., Furfaro R., 2024. Leveraging Physics-Informed Neural Networks for Precise Orbit Determination: A New Frontier in Space Situational Awareness, Los Alamos - Arizona Days, Session: Space Exploration (Solar System Studies), 7-8 November 2024, University of Arizona

  2. 02

    Benedikter, B., D’Ambrosio, A., Furfaro, R., 2024. Physics-Informed Neural Networks for Light Curve Analysis, 2nd International Workshop on AI for Space Sustainability, October 30th – November 1st, London (UK)

  3. 03

    Benedikter, B., D’Ambrosio, A., Furfaro, R., 2024. Physics-Informed Neural Networks for Light Curve Analysis, 1st International Workshop on AI for Space Sustainability, June 24th – June 25th, Glasgow (UK)

  4. 04

    D’Ambrosio, A., Benedikter, B., Furfaro, R., 2024. The VerSSA Platform for Decentralized Privacy Preserving AI, 2nd International Workshop on AI for Space Sustainability, October 30th – November 1st, London (UK)

2022

  1. 01

    Berrilli F., Giovannelli L., Casolino M., Curti F., Del Moro D., Calchetti D., D’Ambrosio A., Marcelli L., Mazzotta P., Pucacco G., Tombesi F., Blandino D., Benigno N., Cilia M., Di Salvo A., Di Tana V., Ingiosi F., Loddo S., Marmonti M., Musazzi M., Simonetti S., Truscelli G. The Sun cubE onE (SEE) CubeSat mission, Workshop “L’Impegno Italiano nel Settore dei CubeSat: Tecnologie e Missioni Future”, Italian Space Agency, 05-07 July 2022, Rome, Italy

  2. 02

    D’Ambrosio A.. Pontryagin Neural Networks applied to optimal control problems for aerospace applications, 19th U.S. national congress on theoretical and applied mechanics, 19-24 June 2022, Austin, Texas

2020

  1. 01

    Schiassi E., Leake C., De Florio M., Johnston H., D’Ambrosio A., Furfaro R., Mortari D., Extreme Theory of Functional Connections: A Physics-Informed Neural Network Framework For Solving Forward and Inverse Problems Involving Parametric Differential Equations, First World Online Conference on Theory of Functional Connections, 22 May 2020

  2. 02

    D’Ambrosio A., Schiassi E., De Florio M., Curti F., Furfaro R., Physics-Informed Solutions of Optimal Control Problems via Extreme Theory of Functional Connections, Los Alamos - Arizona Days, AI/ML/Data Science session, Online conference (held by University of Arizona and Los Alamos National Lab), 18-19 May 2020 (Poster)

  3. 03

    Curti F., D’Ambrosio A., Agostinelli I., Mastrofini M., Facchinetti C., Ansalone L., Tuozzi A., Star Sensor Image On-Board Processing for Orbiting Objects Detection – SPOT, 5th IAA Conference on University Satellite Missions and CubeSat Workshop, Palazzo Rospigliosi, Rome, 28-31 January 2020 (Poster)

2019

  1. 01

    Ribeiro T., Athanasopoulos D., Bates H., Bratli E., Breedveld M. J., D’Ambrosio A., Calabuig G. J. D., Gassot O., Gerig S.-B., Gómez-González J. L., Haidari F., Huber N., Martin M., Riegler C. and Seton R., CARINA: A sample return mission concept to a near-Earth D-type asteroid, European Planetary Science Congress (EPSC), Centre International de Conférences de Genève (CICG), Geneva, 2019