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dc.contributor.authorAbdallah, Muhammad
dc.contributor.authorArkin, Ronald C.
dc.contributor.authorBakkum, Douglas James
dc.contributor.authorMerrill, Ernest
dc.contributor.authorWaldron, Kenneth J.
dc.date.accessioned2008-05-07T14:59:53Z
dc.date.available2008-05-07T14:59:53Z
dc.date.issued2003
dc.identifier.urihttp://hdl.handle.net/1853/21339
dc.description.abstractIn this paper we describe a software system built to coordinate an autonomous vehicle with variable configuration ability operating in rough terrain conditions. The paper describes the system architecture, with an emphasis on the action planning function. This is intended to work with a proprioceptive algorithm that continuously coordinates wheel torques and suspension forces and positions to achieve optimal terrain crossing performance.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectAction planningen_US
dc.subjectAutonomyen_US
dc.subjectCoordinationen_US
dc.subjectProprioceptionen_US
dc.subjectRough terrainen_US
dc.titleProprioceptive Control for a Robotic Vehicle Over Geometric Obstaclesen_US
dc.typePaperen_US
dc.contributor.corporatenameGeorgia Institute of Technology. College of Computing
dc.contributor.corporatenameStanford University. Dept. of Mechanical Engineering


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  • Mobile Robot Laboratory Publications [187]
    Papers, pre/post-prints, and presentations by faculty and students in the Georgia Tech Mobile Robot Laboratory.
  • Mobile Robot Laboratory [187]
    Papers, pre/post-prints, and presentations by faculty and students in the Georgia Tech Mobile Robot Laboratory.

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