An information theoretic approach to sample acquisition and perception in planetary robotics

Garrett Fleetwood, Jekan Thangavelautham

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

1 Scopus citations

Abstract

An important and emerging component of planetary exploration is sample retrieval and return to Earth. Obtaining and analyzing rock samples can provide unprecedented insight into the geology, geo-history and prospects for finding past life and water. Current methods of exploration rely on mission scientists to identify objects of interests and this presents major operational challenges. Finding objects of interests will require systematic and efficient methods to quickly and correctly evaluate the importance of hundreds if not thousands of samples so that the most interesting are saved for further analysis by the mission scientists. In this paper, we propose an automated information theoretic approach to identify shapes of interests using a library of predefined interesting shapes. These predefined shapes maybe human input or samples that are then extrapolated by the shape matching system using the Superformula to judge the importance of newly obtained objects. Shape samples are matched to a library of shapes using the eigenfaces approach enabling categorization and prioritization of the sample. The approach shows robustness to simulated sensor noise of up to 20%. The effect of shape parameters and rotational angle on shape matching accuracy has been analyzed. The approach shows significant promise and efforts are underway in testing the algorithm with real rock samples.

Original languageEnglish (US)
Title of host publication2017 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages117-124
Number of pages8
ISBN (Electronic)9781538634394
DOIs
StatePublished - Sep 19 2017
Externally publishedYes
Event2017 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2017 - Pasadena, United States
Duration: Jul 24 2017Jul 27 2017

Publication series

Name2017 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2017

Conference

Conference2017 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2017
Country/TerritoryUnited States
CityPasadena
Period7/24/177/27/17

Keywords

  • information theory
  • perception
  • principle component analysis
  • robotic sample retrieval
  • sample return
  • Superformula

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Instrumentation

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