This is the list of peer reviewed research papers published by Stardust-R members so far. Each publication is provided with link to a repository where a copy can be downloaded free of charge in one or two mouse clicks. Click on the title of publication to get a copy.

  1. Pugliatti, M., Topputo, F., Small-Body Shape Recognition with Convolutional Neural Network and Comparison with Explicit Features Based Method, Proceedings of AIAA/AAS,
  2. Peñarroya, Pelayo; Vyas, Shubham; Paoli, Roberto; Kajak, Karl M, Survey of Landing Methods on Small Bodies : Benefits of Robotics Manipulators to the Field, Proceedings of International Symposium on Artificial Intelligence, Robotics and Automation in Space.
  3. Giacomo Lari, Melaine Saillenfest, Marco Fenucci, Long-term evolution of the Galilean satellites: the capture of Callisto into resonance, Astronomy & Astrophysics, 639.
  4. Vyas, Shubham; Jankovic, Marko; Kirchner, Frank, Momentum Based Classification for Robotic Active Debris Removal, Proceedings of IAA 2020.
  5. Fenucci, Marco; Gronchi, Giovanni F., Symmetric constellations of satellites moving around a central body of large mass. J Dyn Diff Equat (2021)
  6. Matteo Manzi, Massimiliano Vasile, Orbital anomaly reconstruction using deep symbolic regression, 71st International Astronautical Congress, IAC 2020.
  7. Matteo Manzi, Massimiliano Vasile, Analysis of stochastic nearly-integrable dynamical systems using polynomial chaos expansions, 2020 AAS/AIAA Astrodynamics Specialist Conference.
  8. Matteo Manzi, Massimiliano Vasile, Discovering Unmodeled Components in Astrodynamics with Symbolic Regression, 2020 IEEE Congress on Evolutionary Computation (CEC).
  9. Mauricio Misquero, The spin-spin model and the capture into the double synchronous resonance.
  10. Alessandro Margheri, Mauricio Misquero, A dissipative Kepler problem with a family of singular drags, Celestial Mechanics and Dynamical Astronomy 132/3.
  11. Mauricio Misquero, Rafael Ortega, Some Rigorous Results on the 1:1 Resonance of the Spin-Orbit Problem, SIAM, Journal on Applied Dynamical Systems 19/4.
  12. Casini, I. Fodde, S. Engelen, B. Monna, A. Cervone and E. Gill, Towards the use of commercial-off-the-shelf small-satellite components for deep-space CubeSats: a feasibility and performance analysis, SmallSat, 2020 – 34th Small Satellite Conference.
  13. Alessandra Celletti, Catalin Gales, Christoph Lhotka, Resonances in the Earth’s space environment, Communications in Nonlinear Science and Numerical Simulation Volume 84.
  14. Pugliatti, M., Topputo, F., Onborad Small-Body semantic segmentation based on morphological features with U-Net, 31st AAS/AIAA Space Flight Mechanics Meeting AAS 21-378.
  15. Fabio Ferrari, Vittorio Franzese, Mattia Pugliatti, Carmine Giordano, Francesco Topputo, Preliminary mission profile of Hera’s Milani CubeSat, Advances in Space Research 67/6.
  16. Cavallari, Irene; Gronchi, Giovanni Federico; Bau’, Giulio, On the Sun-shadow dynamics.
  17. Pugliatti, M., Topputo, F., Navigation About Irregular Bodies Through Segmentation Maps, AAS Proceedings, 1.
  18. Pugliatti, M., Maestrini, M., Di Lizia, P., Topputo, F., On-board Small-Body Semantic Segmentation Based on Morphological Features with U-Net, 31st AAS/AIAA Space Flight Mechanics Meeting at Charlotte, NC 1.
  19. Stevenson, E., Rodriguez-Fernandez, V., Minisci, E., Camacho, D., (2020). A Deep Learning
    Approach to Space Weather Proxy Forecasting for Orbital Prediction.     In Proceedings of the 71st International Astronautical Congress (IAC), The CyberSpace Edition, 12-14 October 2020.
  20. Bottiglieri, F. Piccolo, A. Rizza, C. Giordano, M. Pugliatti, V. Franzese, F. Ferrari, F. Topputo, Trajectory design and orbit determination of Hera’s Milani CubeSat, AAS/AIAA Astrodynamics Specialist Conference, Big Sky, 2021.
  21. Topputo, F. Ferrari, V. Franzese, M. Pugliatti, C. Giordano, A. Rizza, C. Bottiglieri, F, Picollo, The Hera Milani CubeSat Mission, 7th IAA Planetary Defense Conference, Vienna, April 2021.
  22. Ferrari, V. Franzese, M. Pugliatti, C. Giordano, F. Topputo, Trajectory Options for Hera’s Milani CubeSat Around (65803) Didymos, Journal of Astronautical Sciences, 196, 2021.
  23. Jerome Daquin, Edoardo Legnaro, Ioannis Gkolias, Christos Efthymiopoulos, A deep dive into the 2g+h resonance: separatrices, manifolds and phase space structure of navigation satellites.
  24. Stevenson, E., Rodriguez-Fernandez, V., Urrutxua, H., Morand, V., Camacho, D. (2021). Artificial Intelligence for All vs. All Conjunction Screening. In Proceedings of the 8th European Conference on Space Debris, Darmstadt, Germany, 20-23 April 2021.
  25. Stevenson, E., Rodriguez-Fernandez, V., Minisci, E., Camacho, D. A Deep Learning Approach to Solar Radio Flux Forecasting. Acta Astronautica. ISSN 0094-5765, 2021.
  26. Casini, S.; Fodde, I.; Monna, B.; Cervone, A.; Gill, E. Novel 3U Stand-Alone CubeSat Architecture for Autonomous Near Earth Asteroid Fly-By. Aerospace,2021, 8, 9.
  27. Peñarroya, P., Pugliatti, M., Centuori, S., Topputo, F. , Using Blender as contact dynamics engine for CubeSat landing simulations within impact crater on Dimorphos, 7th IAA Planetary Defense Conference, Vienna, April 2021.
  28. Peñarroya, P., Paoli R., Orbit Propagation Around Small Bodies Using Spherical Harmonic Coefficients Obtained From Polyhedron Shape Models, 7th IAA Planetary Defense Conference, Vienna, 2021.
  29. Greco, L. Sanchez, M. Vasile, A Robust Bayesian Agent for Optimal Collision Avoidance Manoeuvre Planning, 8th European Conference on Space Debris, ESA/ESOC, Darmstadt, Germany, 2021.
  30. Gronchi, G. Baù, ́O. Rodríguez, R. Jedicke, and J. Moeyens. Generalization of a method by Mossotti for initial orbit determination. Celestial Mechanics and Dynamical Astronomy (2021) 133:41.
  31. Fenucci, Marco; Novaković, Bojan. The role of the Yarkovsky effect in the long-term dynamics of asteroid (469219) Kamo’oalewa, The Astronomical Journal, Volume 162, Number 6, (2021).
  32. Celletti, A., Pucacco, G. & Vartolomei, T. Reconnecting groups of space debris to their parent body through proper elements. Sci Rep 11, 22676 (2021).
  33. Ferrari, Fabio & Franzese, Vittorio & Pugliatti, Mattia & Giordano, Carmine & Topputo, Francesco.  Preliminary mission profile of Hera’s Milani CubeSat. Advances in Space Research. 67, (2021).
  34. Peñarroya, Pelayo & Pugliatti, Mattia & Ferrari, Fabio & Centuori, Simone & Topputo, Francesco & Vetrisano, Massimo & Sanjurjo-Rivo, Manuel.  CubeSat Landing Simulations on Small Bodies using Blender. Advances in Space Research, (2022).
  35. Stevenson, E., Rodriguez-Fernandez, V., Minisci, E., Camacho, D., A Deep Learning Approach to Solar Radio Flux Forecasting. Acta Astronautica, 193 (2022) 595–606, ISSN 0094-5765, (2022).
  36. Stevenson, E., Rodriguez-Fernandez, V., Urrutxua, H., Camacho, D., Benchmarking deep learning approaches for all-vs-all conjunction screening. Advances in Space, (2023).
  37. Cavallari, I., Gronchi, F.G., & Baù, G. On the Sun-shadow dynamics. Physica D: Nonlinear Phenomena. 432, 133136, 2022.
  38. Cavallari I., Efthymiopoulos C. Closed form perturbation theory in the restricted three-body problem. Celestial Mechanics and Dynamical Astronomy. 134, 16, 2022.
  39. Cavallari I., Pucacco G. Bifurcation of frozen orbits in a gravity field with zonal harmonics. Celestial Mechanics and Dynamical Astronomy. 134, 49, 2022.
  40. Wang Y., Vasile M. Intelligent selection of NEO deflection strategies under uncertainty. Advances in Space Research, 2022. Fenucci, B. Novakovi´c, Mercury and OrbFit packages for numerical integration of planetary systems: implementation of the Yarkovsky and YORP effects, Serbian Astronomical Journal 204, 51, 2022.
  41. Asselle, M. Fenucci, A. Portaluri, Bifurcations of balanced configurations for the Newtonian n-body problem in R4, Journal of Fixed Points Theory and Applications 24, 22, 2022.
  42. Fenucci, Local minimality properties of circular motions in 1/rα potentials and of the figure-eight solution of the 3-body problem, Partial Differential Equations and Applications, Volume 3, 2022.
  43. Fenucci, B. Novakovi´c, D. Vokoruhlick´y, R. J. Weryk, Low thermal conductivity of the superfast rotator (499998) 2011 PT, Astronomy & Astrophysics 647, A61, 2021.
  44. Celletti, A., Pucacco, G. & Vartolomei, T. Proper elements for space debris. Celest Mech Dyn Astr 134, 11, 2022. 
  45. Celletti, A., Pucacco, G., & Vartolomei, T. Back-tracing space debris using proper elements. Proceedings of the International Astronomical Union, 15(S364), 134-139, 2022.
  46. Celletti, A., Vartolomei, T. Old perturbative methods for a new problem in Celestial Mechanics: the space debris dynamics. Boll Unione Mat Ital, 2023. 
  47. Daquin, J., Legnaro, E., Gkolias, I. et al. A deep dive into the 2g+h resonance: separatrices, manifolds and phase space structure of navigation satellites. Celest Mech Dyn Astr 134, 6, 2022. 
  48. Legnaro, Edoardo, and Christos Efthymiopoulos. A detailed dynamical model for inclination-only dependent lunisolar resonances. Effect on the “eccentricity growth” mechanism. Advances in Space Research, 2022. 
  49. Roberto Paoli, Analytical and Numerical Estimates for Solar Radiation Pressure Semi-secular Resonances, Advances in Space Research, 2023. 
  50. Laino, M. A., Wilson, A. R., Vasile, M., Paoli, R., Gales, C., A Transport Network for In-Orbit Recycling Exploiting Natural Dynamics, in Proceedings of 73rd International Astronautical Congress, 2022. 
  51. Peñarroya, P. and Paoli, R., Orbit propagation around small bodies using spherical harmonic coefficients obtained from polyhedron shape models., IAU Symposium, vol. 364, pp. 203–210, 2022.
  52. Pugliatti, Mattia & Piccolo, Felice & Topputo, Francesco. Object Recognition Algorithms for the Didymos Binary System, Proceedings of AII, 2022.
  53. Mattia Pugliatti, Hardware-in-the-loop simulation framework for CubeSats proximity operations: application to the Milani mission, Proceedings of IAC, 2022.
  54. Mattia Pugliatti, Design of the vision-based GNC subsystem of Hera’s Milani mission, Proceedings of IAC, 2022.
  55. Buonagura, Carmine & Pugliatti, Mattia & Franzese, Vittorio & Topputo, Francesco & Zeqaj, Aurel & Zannoni, Marco & Varile, Mattia & Bloise, Ilaria & Fontana, Federico & Rossi, Francesco & Feruglio, Lorenzo & Cardone, Mauro.  Deep Learning for Navigation of Small Satellites about Asteroids: an Introduction to the DeepNav Project, Proceedings of AII, 2022.
  56. Bottiglieri, Claudio & Piccolo, Felice & Rizza, Antonio & Pugliatti, Mattia & Franzese, Vittorio & Giordano, Carmine & Ferrari, Fabio & Topputo, Francesco, MISSION ANALYSIS AND NAVIGATION ASSESSMENT FOR HERA’S MILANI CUBESAT, Proceedings of 4S Symposium, 2022.
  57. Buonagura, Carmine & Pugliatti, Mattia & Topputo, Francesco. Procedural Minor Body Generator Tool for Data-Driven Optical Navigation Methods, Proceedings of 6th CEAS conference on GNC, 2022.
  58. Pugliatti, Mattia & Franzese, Vittorio & Rizza, Antonio & Piccolo, Felice & Bottiglieri, Claudio & Giordano, Carmine & Ferrari, Fabio & Topputo, Francesco. Design of the On-Board Image Processing of the Milani Mission, 44th AAS&GNC conference, 2022.
  59. Piccolo, Felice & Pugliatti, Mattia & Panicucci, Paolo & Topputo, Francesco.  Toward Verification and Validation of the Milani Image. Processing of 44th AAS&GNC conference, 2022.
  60. Panicucci, Paolo & Pugliatti, Mattia & Franzese, Vittorio & Topputo, Francesco. Improvements and Applications of the DART Vision-Based Navigation Test-Bench TinyV3RSE, Processing of 44th AAS&GNC conference, 2022.
  61. Pugliatti, Mattia & Rizza, Antonio & Piccolo, Felice & Franzese, Vittorio & Bottiglieri, Claudio & Giordano, Carmine & Ferrari, Fabio & Topputo, Francesco, The Milani mission: overview and architecture of the optical-based GNC system, Proceedings of AIAA SciTech Forum, 10.2514/6.2022-2381, 2022.
  62. Pugliatti, Mattia & Franzese, Vittorio & Topputo, Francesco. (2022). Data-Driven Image Processing for Onboard Optical Navigation Around a Binary Asteroid. Journal of Spacecraft and Rockets. 59. 1-17. 10.2514/1.A35213.
  63. Pugliatti, Mattia & Panicucci, Paolo & Franzese, Vittorio & Topputo, Francesco. TINYV3RSE: The DART Vision-Based Navigation Test-bench.2514/6.2022-1193, 2022.
  64. Pugliatti, Mattia & Maestrini, Michele. (2022). Small-Body Segmentation Based on Morphological Features with a U-Shaped Network Architecture. Journal of Spacecraft and Rockets. 59. 1-15. 10.2514/1.A35447.
  65. Pugliatti, Mattia; Topputo, Francesco; Design of convolutional extreme learning machines for vision-based navigation around small bodies. arXiv preprint, 2022.
  66. Pugliatti, Mattia; Topputo, Francesco; DOORS: Dataset fOr bOuldeRs Segmentation. statistical properties and blender setup., arXiv preprint, 2022.
  67. Pugliatti, Mattia; Topputo, Francesco; Boulders Identification on Small Bodies Under Varying Illumination Conditions. arXiv preprint, 2022.
  68. Buonagura, Carmine & Pugliatti, Mattia & Topputo, Francesco. Image Processing Robustness Assessment of Small-Body Shapes. The Journal of the Astronautical Sciences, 2022.
  69. Vyas, S., Jankovic, M. and Kirchner, F., Momentum based classification for robotic active debris removal. Journal of Space Safety Engineering, 9(4), pp.649-655, 2022.
  70. Vyas, S., Maywald, L., Kumar, S., Jankovic, M., Mueller, A. and Kirchner, F., Post-capture detumble trajectory stabilization for robotic active debris removal. Advances in Space Research. 2022. 
  71. Wiebe, F., Babel, J., Kumar, S., Vyas, S., Harnack, D., Boukheddimi, M., Popescu, M. and Kirchner, F., Torque-limited simple pendulum: A toolkit for getting familiar with control algorithms in underactuated robotics.Journal of Open Source Software, 7(74), p.3884, 2022. 
  72. Vyas, S., Wehbe, BIlal., and Kumar, Shivesh., Quaternion based LQR for Free-Floating Robots Without Gravity. In 6th CEAS Conference on Guidance, Navigation, and Control, (EuroGNC-2022), Berlin, CEAS, May. 2022. 
  73. Bredenbeck, A., Vyas, S., Zwick, M., Borrmann, D., Olivares-Mendez, M.A. and Nüchter, A., 2022, October. Trajectory Optimization and Following for a Three Degrees of Freedom Overactuated Floating Platform. In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 4084-4091). IEEE. 
  74. Boukheddimi, M., Harnack, D., Kumar, S., Kumar, R., Vyas, S., Arriaga, O., and Kirchner, F., 2022, October. Robot Dance Generation with Music Based Trajectory Optimization. In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 3069-3076). IEEE. 
  75. Bredenbeck, A., Vyas, S., Zwick, M., Borrmann, D., Olivares-Mendez, M. and Nüchter, A., 2022. Finding and following optimal trajectories for an overactuated floating robotic platform. In 16th Symposium on Advanced Space Technologies in Robotics and Automation, 2022. ESA Noordwijk, Netherlands. 
  76. Koch, C.E.S., Jankovic, M., Natarajan, S., Vyas, S., Brinkmann, W., Bissonnette, V., Germa, T., Turetta, A. and Kirchner, F., 2020. Underwater Demonstrator for Autonomous In-Orbit Assembly of Large Structures. In 15th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS). 
  77. F Wiebe, S Vyas, L J Maywald, S Kumar, F Kirchner., RealAIGym: Education and Research Platform for Studying Athletic Intelligence. In Mind the Gap: Opportunities and Challenges in the Transition Between Research and Industry, (RSS-2022), 27.6.-01.7.2022, New York, New York, Robotics Science and Systems, Online Proceedings, 2022. RSS Foundation. 
  78. Casini, Stefano, et al., Line-of-Sight Navigation Observability Analysis for Near Earth Asteroid Exploration with CubeSat. 73rd International Astronautical Congress,  Paris (FR), (2022). 
  79. Casini, Stefano, et al., On line-of-sight navigation for deep-space applications: A performance analysis. Advances in Space Research, (2022). 
  80. Celletti, A., Gimeno, J. & Misquero, M. The Spin–Spin Problem in Celestial Mechanics. J Nonlinear Sci 32, 88 (2022).
  81. Peddakotla, Sai Abhishek, Jie Yuan, Edmondo Minisci, Massimiliano Vasile, and Marco Fossati. A numerical approach to evaluate temperature-dependent peridynamics damage model for destructive atmospheric entry of spacecraft. The Aeronautical Journal (2022): 1-30.
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