Bayesian decision making for planetary micro-rovers

Mark Post, Brendan Quine, Regina Lee

Research output: Contribution to conferencePaper

2 Citations (Scopus)
95 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

    Fingerprint

Keywords

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

Cite this

Post, M., Quine, B., & Lee, R. (2012). Bayesian decision making for planetary micro-rovers. Paper presented at Infotech@Aerospace 2012, Garden Grove, California, United States. https://doi.org/10.2514/6.2012-2440