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dc.contributor.advisorKanayama, Yutaka
dc.contributor.authorFish, Robert William
dc.date.accessioned2013-01-23T22:08:57Z
dc.date.available2013-01-23T22:08:57Z
dc.date.issued1993-06
dc.identifier.urihttp://hdl.handle.net/10945/27046
dc.description.abstractThe Computer Science Department at the Naval Postgraduate School in Monterey, California performs research on the control and operation of autonomous mobile robots. One such robot, Yamabico-11, is an excellent test platform for the study of path planning and obstacle avoidance. The ability to operate in an area where unforeseen obstacles are present, and still attain the specified goal, is a highly desirable behavior in an autonomous mobile robot. This thesis takes a step in that direction by proposing and implementing an expert system for high level motion control of the robot. The expert system combines basic path planning routines and advanced obstacle avoidance techniques to direct the robot as it performs the missionen_US
dc.description.urihttp://archive.org/details/anexpertsystemfo1094527046
dc.format.extent99 p.en_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.titleAn expert system for high level motion control for an autonomous mobile roboten_US
dc.typeThesisen_US
dc.contributor.secondreaderMcGhee, Robert B.
dc.contributor.corporateNaval Postgraduate School
dc.contributor.schoolNaval Postgraduate School
dc.contributor.departmentComputer Science
dc.description.serviceLieutenant Commander, United States Navyen_US
etd.thesisdegree.nameMaster of Computer Scienceen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineComputer Scienceen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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