Robotic Antarctic Meteorite Search Outcomes

Apostolopoulos, D; Pedersen, L; Shamah, B; Shillcutt, K; Wagner, M; Whittaker, W

dc.contributor.author	Apostolopoulos, D	en
dc.contributor.author	Pedersen, L	en
dc.contributor.author	Shamah, B	en
dc.contributor.author	Shillcutt, K	en
dc.contributor.author	Wagner, M	en
dc.contributor.author	Whittaker, W	en
dc.date.accessioned	2014-03-01T02:49:06Z
dc.date.available	2014-03-01T02:49:06Z
dc.date.issued	2001	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34295
dc.subject	Autonomous Control	en
dc.subject	bayesian classification	en
dc.subject	Elephants	en
dc.subject	Lessons Learned	en
dc.subject	Machine Learning	en
dc.subject	visual servoing	en
dc.title	Robotic Antarctic Meteorite Search Outcomes	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ROBOT.2001.933270	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ROBOT.2001.933270	en
heal.publicationDate	2001	en
heal.abstract	Automation of the search for and classification of Antarctic meteorites offers a unique case for early demonstration of robotics in a scenario analogous to geological exploratory missions to other planets and to the Earth's extremes. Moreover, the discovery of new meteorite samples is of great value because meteorites are the only significant source of extraterrestrial material available to scientists. In	en
heal.journalName	International Conference on Robotics and Automation	en
dc.identifier.doi	10.1109/ROBOT.2001.933270	en