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dc.contributor.advisorMatthew Wilson.en_US
dc.contributor.authorThau, Robert S. (Robert Solomon)en_US
dc.date.accessioned2005-08-18T19:32:25Z
dc.date.available2005-08-18T19:32:25Z
dc.date.copyright1997en_US
dc.date.issued1997en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/10306
dc.descriptionThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 1997.en_US
dc.descriptionIncludes bibliographical references (p. 139-143).en_US
dc.description.statementofresponsibilityby Robert S. Thau.en_US
dc.format.extent143 p.en_US
dc.format.extent15833242 bytes
dc.format.extent15833001 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectBrain and Cognitive Sciencesen_US
dc.titleReliably mapping a robot's enivronment using fast vision and local, but not global, metric dataen_US
dc.typeThesisen_US
dc.description.degreePh.D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciences
dc.identifier.oclc37445343en_US


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