Autonomous real-time site selection for venus and titan landing using evolutionary fuzzy cognitive maps

R. Furfaro, J. S. Kargel, W. Fink

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Future science-driven landing missions, conceived to collect in-situ data on regions of planetary bodies that have the highest potential to yield important scientific discoveries, will require a higher degree of autonomy. The latter includes the ability of the spacecraft to autonomously select the landing site using real-time data acquired during the descent phase. This paper presents the development of an Evolutionary Fuzzy Cognitive Map (E-FCM) model that implements an artificial intelligence system capable of selecting a landing site with the highest potential for scientific discoveries constrained by the requirement of soft landing on a region with safe terrain. The proposed E-FCM evolves its internal states and interconnections as function of the external data collected during the descent, therefore improving the decision process as more accurate information is available. The E-FCM is constructed using knowledge accumulated by experts and it is tested on scenarios that simulate the decision-making process during the descent toward the Hyndla Regio on Venus. The E-FCM is shown to quickly reach conclusions that are consistent with what a planetary expert would decide if the scientist were presented, in real-time, with the same available information. The proposed methodology is fast and efficient and may be suitable for on-board spacecraft implementation and real-time decision-making during the course of any robotic exploration of the Solar System.

Original languageEnglish (US)
Title of host publicationProceedings of the 2011 International Conference on Artificial Intelligence, ICAI 2011
Pages691-697
Number of pages7
StatePublished - Dec 1 2011
Event2011 International Conference on Artificial Intelligence, ICAI 2011 - Las Vegas, NV, United States
Duration: Jul 18 2011Jul 21 2011

Publication series

NameProceedings of the 2011 International Conference on Artificial Intelligence, ICAI 2011
Volume2

Other

Other2011 International Conference on Artificial Intelligence, ICAI 2011
Country/TerritoryUnited States
CityLas Vegas, NV
Period7/18/117/21/11

Keywords

  • Autonomous systems
  • Fuzzy cognitive maps
  • Planetary exploration
  • Planetary landing

ASJC Scopus subject areas

  • Artificial Intelligence

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