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PrintedinSwedenbyMedia-Tryck. (2007)

Abstract
Lund2007 Overthelastdecades,bothforcesensorsandcamerashaveemergedas usefulsensorsfordifferentapplicationsinrobotics.Thisthesisconsiders anumberofdynamicvisualtrackingandcontrolproblems,aswellasthe integrationofthesetechniqueswithcontactforcecontrol.Differenttopics rangingfrombasictheorytosystemimplementationandapplicationsare treated. Anewinterfacedevelopedforexternalsensorcontrolispresented,designedbymakingnon-intrusiveextensionstoastandardindustrialrobotcontrolsystem.Thestructureoftheseextensionsarepresented,thesystempropertiesaremodeledandexperimentallyverified,andresultsfrom force-controlledstubgrindinganddeburringexperimentsarepresented. Anovelsystemforforce-controlled drillingusingastandardindustrial robotisalsodemonstrated.Thesolutionisbasedontheuseofforcefeedbacktocontrolthecontactforcesandtheslidingmotionsofthepressure foot,whichwouldotherwiseoccurduringthedrillingphase. Basicmethodsforfeature-basedtrackingandservoingarepresented, togetherwithanextensionforconstrainedmotionestimationbasedona dualquaternionposeparametrization.Amethodformulti-camerarealtimerigidbodytrackingwithtimeconstraintsisalsopresented,based onanoptimalselectionofthemeasuredfeatures.Thedevelopedtracking methodsareusedasthebasisfortwodifferentapproachestovision/force control,whichareillustratedinexperiments. Intensity-based techniquesfortrackingandvision-basedcontrolare alsodeveloped.Adynamicvisualtrackingtechniquebaseddirectlyonthe imageintensitymeasurementsispresented,togetherwithnewstabilitybasedmethodssuitablefordynamictrackingandfeedbackproblems.Thestability-basedmethodsoutperformthepreviousmethodsinmanysituations,asshowninsimulationsandexperiments. 5

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Source http://www.lucas.lth.se/publications/thesis/olssontdoc.pdf
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Type text
Language English
Relation 10.1.1.55.5917