Guidance, Navigation, and Control

  • Drozd, K., Furfaro, R., Schiassi, E., Johnston, H. and Mortari, D., 2021. Energy-optimal trajectory problems in relative motion solved via Theory of Functional Connections. Acta Astronautica, 182, pp.361-382. DOI: https://doi.org/10.1016/j.actaastro.2021.01.031
  • Schiassi, E., D'Ambrosio, A., Johnston, H., De Florio, M., 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
  • Gaudet, B., Furfaro, R., & Linares, R. (2020). Reinforcement learning for angle-only intercept guidance of maneuvering targets. Aerospace Science and Technology, 99, 105746. DOI: https://doi.org/10.1016/j.ast.2020.105746 
  • Gaudet, B., Linares, R., & Furfaro, R. (2020). Six degree-of-freedom body-fixed hovering over unmapped asteroids via LIDAR altimetry and reinforcement meta-learning. Acta Astronautica. DOI: https://doi.org/10.1016/j.actaastro.2020.03.026 
  • Furfaro, R., Linares, R., & Reddy, V. Space Debris Identification and Characterization via Deep Meta-Learning. PDF
  • Gaudet, B., Linares, R., & Furfaro, R. (2020). Six Degree-of-Freedom Hovering over an Asteroid with Unknown Environmental Dynamics via Reinforcement Learning. In AIAA Scitech 2020 Forum (p. 0953). DOI: https://doi.org/10.2514/6.2020-0953 
  • Gaudet, B., Linares, R., & Furfaro, R. (2020). Deep Reinforcement Learning for Six Degree-of-Freedom Planetary Landing. Advances in Space Research. DOI: https://doi.org/10.1016/j.asr.2019.12.030 
  • Gaudet, B., Linares, R., & Furfaro, R. (2020). Terminal adaptive guidance via reinforcement meta-learning: Applications to autonomous asteroid close-proximity operations. Acta Astronautica. PDF
  • Gaudet, B., Furfaro, R., Linares, R., & Scorsoglio, A. (2020). Reinforcement Meta-Learning for Interception of Maneuvering Exoatmospheric Targets with Parasitic Attitude Loop. arXiv preprint arXiv:2004.09978. PDF
  • Gaudet, B., Linares, R., & Furfaro, R. (2019). Six Degree-of-Freedom Hovering using LIDAR Altimetry via Reinforcement Meta-Learning. arXiv preprint arXiv:1911.08553. PDF
  • Furfaro, R., Linares, R., & Reddy, V. (2019). Shape Identification of Space Objects via Light Curve Inversion using Deep Learning Models. In AMOS Technologies Conference, Maui Economic Development Board, Kihei, Maui, HI. PDF
  • Scorsoglio, A., & Furfaro, R. (2019). ELM-based Actor-Critic Approach to Lyapunov Vector Fields Relative Motion Guidance in Near-Rectilinear Orbit. In 2019 AAS/AIAA Astrodynamics Specialists Conference (pp. 1-20). PDF
  • Furfaro, R., Scorsoglio, A., Linares, R., & Massari, M. (2020). Adaptive generalized ZEM-ZEV feedback guidance for planetary landing via a deep reinforcement learning approach. Acta Astronautica. DOI: http://dx.doi.org/10.1016/j.actaastro.2020.02.051
  • Furfaro, R., & Mortari, D. (2020). Least-squares solution of a class of optimal space guidance problems via theory of connections. Acta Astronautica, 168, 92-103. DOI: https://doi.org/10.1016/j.actaastro.2019.05.050
  • Holt, H., Armellin, R., Scorsoglio, A., & Furfaro, R. (2020). Low-Thrust Trajectory Design Using Closed-Loop Feedback-Driven Control Laws and State-Dependent Parameters. In AIAA Scitech 2020 Forum (p. 1694). DOI: https://doi.org/10.2514/6.2020-1694
  • Scorsoglio, A., Furfaro, R., Linares, R., & Gaudet, B. (2020). Image-based Deep Reinforcement Learning for Autonomous Lunar Landing. In AIAA Scitech 2020 Forum (p. 1910). DOI: http://dx.doi.org/10.2514/6.2020-1910
  • Johnston, H., Schiassi, E., Furfaro, R., & Mortari, D. (2020). Fuel-Efficient Powered Descent Guidance on Large Planetary Bodies via Theory of Functional Connections. arXiv preprint arXiv:2001.03572. PDF
  • Scorsoglio, A., Furfaro, R., Linares, R., & Massari, M. (2019). Actor-critic reinforcement learning approach to relative motion guidance in near-rectilinear orbit. In 29th AAS/AIAA Space Flight Mechanics Meeting (pp. 1-20).  PDF
  • Campbell, T., Reddy, V., Furfaro, R., & Tucker, S. (2019). Characterizing LEO Objects using Simultaneous Multi-Color Optical Array. amos, 51.
  • Drozd K., Furfaro R., & Mortari D. (2019). Constrained Energy-Optimal Guidance in Relative Motion via Theory of Functional Connections and Rapidly-Explored Random Trees. Conference: 2019 AAS/AIAA Astrodynamics Specialist Conference. Portland, ME, USA. PDF
  • Schiassi E., Furfaro R., Johnston H., & Mortari D. (2019). Fuel-efficient Powered Descent Guidance on Planetary Bodies via Theory of Functional Connection 1: Solution of the Equations of Motion, AAS 19-718, AAS/AIAA Astrodynamics Specialist Conference, Portland, ME. PDF
  • Scorsoglio, A., & Furfaro, R. (2019), ELM-based Actor-Critic Approach to Lyapunov Vector Fields Relative Motion Guidance in Near-Rectilinear Orbits. Conference: 2019 AAS/AIAA Astrodynamics Specialist Conference. Portland, ME, USA. PDF
  • Drozd, K. M., Furfaro, R., & Topputo, F. (2018). Application of ZEM/ZEV guidance for closed-loop transfer in the Earth-Moon System. In 2018 Space Flight Mechanics Meeting (p. 0958). DOI: http://dx.doi.org/10.2514/6.2018-0958.c1
  • Jiang, X., Furfaro, R., & Li, S. (2018). Integrated guidance for mars entry and powered descent using reinforcement learning and gauss pseudospectral method. In 4th IAA Conference on Dynamics and Control of Space Systems, DYCOSS 2018 (pp. 761-774). Univelt Inc.. DOI: https://doi.org/10.1016/j.actaastro.2018.12.033
  • Furfaro, R., Bloise, I., Orlandelli, M., Di Lizia, P., Topputo, F., & Linares, R. (2018). Deep learning for autonomous lunar landing. In 2018 AAS/AIAA Astrodynamics Specialist Conference (pp. 1-22). PDF
  • Campbell, T., Furfaro, R., Linares, R., & Gaylor, D. (2017, January). A deep learning approach for optical autonomous planetary relative terrain navigation. In 27th AAS/AIAA Space Flight Mechanics Meeting, 2017 (pp. 3293-3302). Univelt Inc. PDF