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
CountryUnited 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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    Furfaro, R., Kargel, J. S., & Fink, W. (2011). Autonomous real-time site selection for venus and titan landing using evolutionary fuzzy cognitive maps. In Proceedings of the 2011 International Conference on Artificial Intelligence, ICAI 2011 (pp. 691-697). (Proceedings of the 2011 International Conference on Artificial Intelligence, ICAI 2011; Vol. 2).