Show simple item record Lee, Mark Barnes, David Preston Hardy, Nigel 2006-03-17T14:37:16Z 2006-03-17T14:37:16Z 1983
dc.identifier.citation Lee , M , Barnes , D P & Hardy , N 1983 , ' Knowledge based error recovery in industrial robots ' Paper presented at 8th International Join Conference on Artificial Intelligence, Karlsruhe , Karlsruhe , Germany , 08/08/1983 - 12/08/1983 , pp. 824-826 . en
dc.identifier.citation conference en
dc.identifier.other PURE: 66761
dc.identifier.other PURE UUID: f3379024-98ae-496e-90ad-cec0d097f7bc
dc.identifier.other dspace: 2160/62
dc.identifier.other DSpace_20121128.csv: row: 38
dc.identifier.other Scopus: 0020946377
dc.description M. H. Lee, D. P. Barnes, and N. W. Hardy. Knowledge based error recovery in industrial robots. In Proc. 8th. Int. Joint Conf. Artificial Intelligence, pages 824-826, Karlsruhe, FDR., 1983. en
dc.description.abstract This paper describes the main aims of a new research project concerned with the implementation of automatic error recovery facilities in industrial robotics. An approach is discussed in which an existing manufacturing work cell is to be enhanced by the addition of a task event model contained in an error recovery knowledge base. This paper outlines the main design issues involved in this work. Reasons why conventional fault tolerance techniques are inadequate are given and the industrial application is explained. A particular approach to sensory monitoring and error diagnosis is described. The proposed system has more similarities with sensory driven expert systems than with body modelling contingency planners. en
dc.format.extent 3 en
dc.language.iso eng
dc.relation.ispartof en
dc.rights en
dc.title Knowledge based error recovery in industrial robots en
dc.type /dk/atira/pure/researchoutput/researchoutputtypes/contributiontoconference/paper en
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Intelligent Robotics Group en
dc.description.status Non peer reviewed en

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