Incorporating AEGIS autonomous science into mars science laboratory rover mission operations

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  • Raymond Francis
  • Tara Estlin
  • Gary Doran
  • Daniel Gaines
  • Stephen Johnstone
  • Suzanne Montaño
  • Laurent Peret
  • Valérie Mousset
  • Olivier Gasnault
  • Frydenvang, Jens
  • Roger C. Wiens
  • Steven Schaffer
  • Betina Pavri
  • Vandana Verma
  • Debarati Chattopadhyay
  • Benjamin Bornstein
  • Nimisha Mittal
  • Lauren Deflores

The AEGIS (Autonomous Exploration for Gathering Increased Science) intelligent targeting software system has been in use on the Mars Science Laboratory (MSL) mission since 2016. The system allows on-board autonomous selection of targets for the ChemCam remote geochemistry instrument based on analysis of images taken by the rover. This paper describes the deployment of AEGIS to MSL and the operational use of the system since rollout to science operations in May of 2016. We describe how MSL Science Operations have adapted to include autonomous target selection, both in procedures and in exploration strategies, and how mission planners and scientists have used AEGIS autonomy to enhance their work on the MSL mission.

Original languageEnglish
Title of host publication15th International Conference on Space Operations, 2018
Publisher[publishername] American Institute of Aeronautics and Astronautics Inc, AIAA
Publication date1 Jan 2018
Article numberAIAA 2018-2576
ISBN (Print)9781624105623
DOIs
Publication statusPublished - 1 Jan 2018
Event15th International Conference on Space Operations, SpaceOps 2018 - Marseille, France
Duration: 28 May 20181 Jun 2018

Conference

Conference15th International Conference on Space Operations, SpaceOps 2018
LandFrance
ByMarseille
Periode28/05/201801/06/2018
Series15th International Conference on Space Operations, 2018

ID: 225755535