Expert System Framework for Fault Detection and Fault Tolerance in Robotics

dc.citation.conferenceDate1992en_US
dc.citation.conferenceNameFourth International Symposium on Robotics and Manufacturingen_US
dc.citation.firstpage793
dc.citation.lastpage799
dc.citation.locationSanta Fe, NMen_US
dc.contributor.authorVisinsky, Monica L.
dc.contributor.authorCavallaro, Joseph R.
dc.contributor.authorWalker, Ian D.
dc.contributor.orgCenter for Multimedia Communicationen_US
dc.date.accessioned2012-06-20T20:58:21Z
dc.date.available2012-06-20T20:58:21Z
dc.date.issued1992-11-01eng
dc.description.abstractFault tolerance is of increasing importance for modern autonomous industrial robots. The ability to detect and tolerate failures will enable robots to effectively cope with internal failures and continue performing assigned tasks without the need for immediate human intervention. To monitor fault tolerance actions performed by lower level routines and to provide higher level information about a robot's recovery capabilities, we use an expert system to develop a novel fault tolerance framework combining fault detection and tolerance routines with dynamic fault tree analysis. Fault tree analysis reveals the key components for providing fault detection and tolerance within a system. The trees can also be used quantitatively to provide a dynamic estimate of the probability of failure of the entire system or various subsystems. Using fault trees as a standard framework, the expert system package can provide fault tolerance for robots of significantly different origin and structure.en_US
dc.description.sponsorshipNational Science Foundationen_US
dc.description.sponsorshipSandia National Laboratoryen_US
dc.description.sponsorshipMitre Corporation Graduate Fellowshipen_US
dc.identifier.citationM. L. Visinsky, J. R. Cavallaro and I. D. Walker, "Expert System Framework for Fault Detection and Fault Tolerance in Robotics," 1992.*
dc.identifier.doihttp://dx.doi.org/10.1016/0045-7906(94)90035-3en_US
dc.identifier.urihttps://hdl.handle.net/1911/64284
dc.language.isoengen
dc.publisherASMEen_US
dc.titleExpert System Framework for Fault Detection and Fault Tolerance in Roboticsen_US
dc.typeConference paperen_US
dc.type.dcmiTexten
dc.type.dcmiTexten_US
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