Artificial intelligence for early design of space missions in support of concurrent engineering sessions

F. Murdaca, A. Berquand, A. Riccardi, T. Soares, S. Gerené, N. Brauer, K. Kumar

Research output: Contribution to conferenceProceedingpeer-review

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A feasibility study is usually the first step of the space mission lifecycle. At the era of Big Data experts involved in feasibility studies could benefit from artificial intelligence (AI) to capitalise on the accumulated knowledge in the field of space mission design. This paper describes the early stages of the development of an AI - based agent, called Design Engineering Assistant (DEA), to support Human experts during concurrent engineering (CE) sessions. The paper details how an AI - based agent could be integrated into the CE process, how it could support experts and interact with them. The DEA preliminary architecture and main identified challenges are also presented here. The DEA is a non - intrusive decision support tool aiming to enhance the expert perception of different design alternatives and past decisions outcomes. The study leverages Natural Language Processing, Machine Learning, Knowledge Management and Human - Machine Interaction (HMI) methods.
Original languageEnglish
Number of pages7
Publication statusPublished - 26 Sep 2018
Event8th International Systems & Concurrent Engineering for Space Applications Conference - University of Strathclyde, Glasgow, United Kingdom
Duration: 26 Sep 201828 Sep 2018
Conference number: 8


Conference8th International Systems & Concurrent Engineering for Space Applications Conference
Abbreviated titleSECESA 2018
Country/TerritoryUnited Kingdom
Internet address


  • big data
  • artificial intelligence
  • machine learning
  • design engineering assistant (DEA)

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