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  • Conference proceedings
  • © 2023

The Use of Artificial Intelligence for Space Applications

Workshop at the 2022 International Conference on Applied Intelligence and Informatics

  • Demonstrates the use of Artificial Intelligence for Space Applications
  • Presents how AI-based systems are contributing to several space operations
  • Examines the dialogue between AI and space and stimulates the exchange of ideas between researchers of these two fields

Part of the book series: Studies in Computational Intelligence (SCI, volume 1088)

Conference series link(s): AII: International Conference on Applied Intelligence and Informatics

Conference proceedings info: AII 2022.

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Table of contents (29 papers)

  1. Front Matter

    Pages i-xi
  2. YOLO v4 Based Algorithm for Resident Space Object Detection and Tracking

    • Marco Mastrofini, Gilberto Goracci, Ivan Agostinelli, Fabio Curti
    Pages 19-33
  3. GPU@SAT: A General-Purpose Programmable Accelerator for on Board Data Processing and Satellite Autonomy

    • Roberto Ciardi, Gianluca Giuffrida, Gionata Benelli, Christian Cardenio, Riccardo Maderna
    Pages 35-47
  4. Overview of Meta-Reinforcement Learning Methods for Autonomous Landing Guidance

    • Andrea Scorsoglio, Luca Ghilardi, Roberto Furfaro
    Pages 49-63
  5. Satellite IoT for TT&C and Satellite Identification

    • G. D’Angelo, J. P. Mediano-Alameda, R. Andreotti
    Pages 65-81
  6. Hardware-in-the-Loop Simulations of Future Autonomous Space Systems Aided by Artificial Intelligence

    • Andrea Carbone, Dario Spiller, Mohamed Salim Farissi, Sarathchandrakumar T. Sasidharan, Francesco Latorre, Fabio Curti
    Pages 83-99
  7. Deep Reinforcement Learning for Pin-Point Autonomous Lunar Landing: Trajectory Recalculation for Obstacle Avoidance

    • Giulia Ciabatti, Dario Spiller, Shreyansh Daftry, Roberto Capobianco, Fabio Curti
    Pages 101-115
  8. Comparative Analysis of Reinforcement Learning Algorithms for Robust Interplanetary Trajectory Design

    • Lorenzo Federici, Alessandro Zavoli, Roberto Furfaro
    Pages 133-149
  9. Fault Detection Exploiting Artificial Intelligence in Satellite Systems

    • Nicola Ferrante, Gianluca Giuffrida, Pietro Nannipieri, Alessio Bechini, Luca Fanucci
    Pages 151-166
  10. ISS Monocular Depth Estimation Via Vision Transformer

    • Luca Ghilardi, Andrea Scorsoglio, Roberto Furfaro
    Pages 167-181
  11. RobDT: AI-enhanced Digital Twin for Space Exploration Robotic Assets

    • Marco Bozzano, Riccardo Bussola, Marco Cristoforetti, Srajan Goyal, Martin Jonáš, Konstantinos Kapellos et al.
    Pages 183-198
  12. An Overview of X-TFC Applications for Aerospace Optimal Control Problems

    • Enrico Schiassi, Andrea D’Ambrosio, Roberto Furfaro
    Pages 199-212
  13. Innovative ML-based Methods for Automated On-board Spacecraft Anomaly Detection

    • Carlo Ciancarelli, Eleonora Mariotti, Francesco Corallo, Salvatore Cognetta, Livia Manovi, Alex Marchioni et al.
    Pages 213-228
  14. Explainable AI with the Information Bottleneck Principle

    • Gabriele Berardi, Piergiorgio Lanza
    Pages 229-241
  15. SINAV: An ASI Study of Future AI Applications on Spatial Rovers

    • Piergiorgio Lanza, Gabriele Berardi, Patrick Roncagliolo, Giuseppe D’Amore
    Pages 243-258
  16. Deep Learning for Navigation of Small Satellites About Asteroids: An Introduction to the DeepNav Project

    • Carmine Buonagura, Mattia Pugliatti, Vittorio Franzese, Francesco Topputo, Aurel Zeqaj, Marco Zannoni et al.
    Pages 259-271
  17. Object Recognition Algorithms for the Didymos Binary System

    • Mattia Pugliatti, Felice Piccolo, Francesco Topputo
    Pages 273-287
  18. Towards an Explainable Artificial Intelligence Approach for Ships Detection from Satellite Imagery

    • Cosimo Ieracitano, Nadia Mammone, Francesco Carlo Morabito
    Pages 289-297

Other Volumes

  1. The Use of Artificial Intelligence for Space Applications

About this book

This book is an ideal and practical resource on the potential impact Artificial Intelligence (AI) can have in space sciences and applications. AI for Space Application presents a hands-on approach to browse in the subject and to learning how to do.

AI is not yet fully accepted as a pervasive technology in space applications because they are often mission-critical and the cost of space equipment and modules raises skepticism on any practical use and reliability. However, it is evident that its potential impact on many aspects is dramatic.  Starting from either actual or experimental realizations, the book accompanies the reader through such fascinating subjects like space exploration, autonomous navigation and landing, rover control and guidance on rough surfaces, image analysis automation for planet or star classification, and for space debris avoidance without human intervention.

This kind of approach may facilitate further investigations on the same or similar subjects, as the future of space explorations is going toward adopting AI. 

The intended audience of the book are researchers from academia and space industries and practitioners in related start-ups.

Editors and Affiliations

  • Reggio Calabria, Italy

    Cosimo Ieracitano, Nadia Mammone

  • Rome, Italy

    Marco Di Clemente

  • Nottingham, UK

    Mufti Mahmud

  • Tucson, USA

    Roberto Furfaro

  • REGGIO CALABRIA, Italy

    Francesco Carlo Morabito

About the editors


Bibliographic Information

  • Book Title: The Use of Artificial Intelligence for Space Applications

  • Book Subtitle: Workshop at the 2022 International Conference on Applied Intelligence and Informatics

  • Editors: Cosimo Ieracitano, Nadia Mammone, Marco Di Clemente, Mufti Mahmud, Roberto Furfaro, Francesco Carlo Morabito

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-031-25755-1

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Hardcover ISBN: 978-3-031-25754-4Published: 17 June 2023

  • Softcover ISBN: 978-3-031-25757-5Due: 18 July 2023

  • eBook ISBN: 978-3-031-25755-1Published: 16 June 2023

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XI, 449

  • Number of Illustrations: 32 b/w illustrations, 186 illustrations in colour

  • Topics: Computational Intelligence, Aerospace Technology and Astronautics, Artificial Intelligence

Buy it now

Buying options

eBook USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access