Knowledge based error recovery in industrial robots


Autoria(s): Lee, Mark; Barnes, David Preston; Hardy, Nigel
Contribuinte(s)

Department of Computer Science

Intelligent Robotics Group

Data(s)

17/03/2006

17/03/2006

1983

Resumo

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.

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.

Non peer reviewed

Formato

3

Identificador

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 .

conference

PURE: 66761

PURE UUID: f3379024-98ae-496e-90ad-cec0d097f7bc

dspace: 2160/62

http://hdl.handle.net/2160/62

Idioma(s)

eng

Tipo

/dk/atira/pure/researchoutput/researchoutputtypes/contributiontoconference/paper

Conference paper

Relação

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