ROBOTS ACQUIRING TASKS FROM EXAMPLES

dc.contributor.authorMacDonald, Bruce A.eng
dc.contributor.authorHeise, Rosannaeng
dc.date.accessioned2008-02-26T22:38:12Z
dc.date.available2008-02-26T22:38:12Z
dc.date.computerscience1999-05-27eng
dc.date.issued1988-12-25eng
dc.description.abstractThis paper describes a task acquisition system which is being implemented on a six-joint robot. Functions controlling the robot are constructed directly from examples of the user leading it. The numerical robot feedback is passed through a symbolic processing stage to convert it into primitive motion functions. Thereafter, generalization occurs at two levels - the primitive motion function names and the arguments to these primitive functions. The constructed task function may contain loops, conditionals, and variables. All variables are determined from the objects which are manipulated. General algorithms are described, examples are given, and comparisons to existing operator learning systems are presented.eng
dc.description.notesWe are currently acquiring citations for the work deposited into this collection. We recognize the distribution rights of this item may have been assigned to another entity, other than the author(s) of the work.If you can provide the citation for this work or you think you own the distribution rights to this work please contact the Institutional Repository Administrator at digitize@ucalgary.caeng
dc.identifier.department1988-338-50eng
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/30898
dc.identifier.urihttp://hdl.handle.net/1880/45576
dc.language.isoEngeng
dc.publisher.corporateUniversity of Calgaryeng
dc.publisher.facultyScienceeng
dc.subjectComputer Scienceeng
dc.titleROBOTS ACQUIRING TASKS FROM EXAMPLESeng
dc.typeunknown
thesis.degree.disciplineComputer Scienceeng
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