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dc.contributor.advisorJohn J. Leonard.en_US
dc.contributor.authorConrad, Jeremy (Jeremy A.)en_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Mechanical Engineering.en_US
dc.date.accessioned2007-02-21T13:24:43Z
dc.date.available2007-02-21T13:24:43Z
dc.date.copyright2006en_US
dc.date.issued2006en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/36302
dc.descriptionThesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2006.en_US
dc.descriptionIncludes bibliographical references (p. 21).en_US
dc.description.abstractAutonomous robots are becoming a part of everyday life. One difficulty in the creation of autonomous robots is having the robots avoid objects. In particular once one has chosen an algorithm difficulty arises in perfecting the parameters involved. Presented here is an implementation of an algorithm and an education support tool add-on to MOOS that allows the end user to quickly vary the parameters to test the performance of the system.en_US
dc.description.statementofresponsibilityby Jeremy Conrad.en_US
dc.format.extent22 p.en_US
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.subjectMechanical Engineering.en_US
dc.titleAn educational tool to assist students in the evaluation of object avoidance algorithmsen_US
dc.typeThesisen_US
dc.description.degreeS.B.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.identifier.oclc77747411en_US


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