Human-machine system design for autonomous distributed satellite operations

Samuel Hilton, Alessandro Gardi, Roberto Sabatini, Neta Ezer, Shivani Desai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations


Distributed Satellite Systems (DSS) provide a promising solution in increasing the sustainability of both the space and terrestrial environment through responsive Earth Observation (EO) and Space Domain Awareness (SDA) operations. To exploit the advantages of DSS mission architectures, a technical evolution is required from the deliberative methodologies of traditional ground station operations to approaches that are more suited to autonomous, reactive space mission architectures. At its core, this transition is directly reflected in the design, and development of new, more autonomous Mission Planning Systems that adopt the Adaptive Multi-Agent System (AMAS) framework. With a view towards trusted autonomy, this paper explores the required evolution towards a more supervisory role of future ground station operations. In doing so, this paper provides an initial analysis of a conceptual goal-based distributed space-based SDA application within the Observe Orient Decide and Act (OODA) decision loop framework.

Original languageBritish English
Title of host publicationDASC 2020 - 39th Digital Avionics Systems Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728198255
StatePublished - 11 Oct 2020
Event39th AIAA/IEEE Digital Avionics Systems Conference, DASC 2020 - Virtual, San Antonio, United States
Duration: 11 Oct 202016 Oct 2020

Publication series

NameAIAA/IEEE Digital Avionics Systems Conference - Proceedings
ISSN (Print)2155-7195
ISSN (Electronic)2155-7209


Conference39th AIAA/IEEE Digital Avionics Systems Conference, DASC 2020
Country/TerritoryUnited States
CityVirtual, San Antonio


  • Autonomy
  • Close-Loop Human Machine Systems
  • Distributed Satellite System
  • Goal Based Operations


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