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Identification of geometrical and elastostatic parameters of heavy industrial robots

Alexandr Klimchik, Yier Wu, Claire Dumas, Stéphane Caro, Benoît Furet, Anatol Pashkevich

Year
2013
Citations
5

Abstract

The paper focuses on the stiffness modeling of heavy industrial robots with gravity compensators. The main attention is paid to the identification of geometrical and elastostatic parameters and calibration accuracy. To reduce impact of the measurement errors, the set of manipulator configurations for calibration experiments is optimized with respect to the proposed performance measure related to the end-effector position accuracy. Experimental results are presented that illustrate the advantages of the developed technique.

Keywords

Position (finance)CalibrationRobotIdentification (biology)StiffnessMeasure (data warehouse)Set (abstract data type)Computer scienceIndustrial robotControl theory (sociology)

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