Bayesian decision making for planetary micro-rovers

Mark Post, Brendan Quine, Regina Lee

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)
103 Downloads (Pure)

Abstract

This study focuses on the implementation of a simple statistical algorithm to classify and map objects sensed by a micro-rover proto-implementation of a simple statistical algorithm to classify and map objects sensed by a micro-rover proto-type in real world testing.
Original languageEnglish
Number of pages5
DOIs
Publication statusPublished - 19 Jun 2012
EventInfotech@Aerospace 2012 - Hyatt Regency Orange County, Garden Grove, California, United States
Duration: 19 Jun 201221 Jun 2012
http://www.aiaa.org/i@a2012/

Conference

ConferenceInfotech@Aerospace 2012
CountryUnited States
CityGarden Grove, California
Period19/06/1221/06/12
Internet address

Keywords

  • planetary micro-rovers
  • bayesian
  • decision making
  • robotic systems
  • micro-rover
  • proto-implementation
  • machine behaviours

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