An expert system for high level motion control for an autonomous mobile robot
dc.contributor.advisor | Kanayama, Yutaka | |
dc.contributor.author | Fish, Robert William | |
dc.date.accessioned | 2013-01-23T22:08:57Z | |
dc.date.available | 2013-01-23T22:08:57Z | |
dc.date.issued | 1993-06 | |
dc.identifier.uri | http://hdl.handle.net/10945/27046 | |
dc.description.abstract | The 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 mission | en_US |
dc.description.uri | http://archive.org/details/anexpertsystemfo1094527046 | |
dc.format.extent | 99 p. | en_US |
dc.language.iso | en_US | |
dc.publisher | Monterey, California. Naval Postgraduate School | en_US |
dc.title | An expert system for high level motion control for an autonomous mobile robot | en_US |
dc.type | Thesis | en_US |
dc.contributor.secondreader | McGhee, Robert B. | |
dc.contributor.corporate | Naval Postgraduate School | |
dc.contributor.school | Naval Postgraduate School | |
dc.contributor.department | Computer Science | |
dc.description.service | Lieutenant Commander, United States Navy | en_US |
etd.thesisdegree.name | Master of Computer Science | en_US |
etd.thesisdegree.level | Masters | en_US |
etd.thesisdegree.discipline | Computer Science | en_US |
etd.thesisdegree.grantor | Naval Postgraduate School | en_US |
dc.description.distributionstatement | Approved for public release; distribution is unlimited. |
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