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Increasing Robotic Machining Accuracy Using Offline Compensation Based on Joint-Motion Simulation

Mathias Haage, Marcel Halbauer, Christian Lehmann, Philipp Städter

发表年份
2014
引用次数
2

摘要

In this paper an approach for improving robot machining accuracy through simulation-assisted path planning within Computer-Aided Manufacturing (CAM) tools is investigated. The method comprises modeling of dynamic robot behaviour under influence of process forces and a subsequent simulation of the robot motion which results in an offline prediction of deflection errors during the machining task. The error prediction performed inside the CAM-tool is utilised to already offline apply compensations to the planned tool-path for the robot. The whole computer-tool chain has been implemented and integrated within a commercial CAM-software. The focus of this paper is to describe the system architecture and do initial validation and analysis of the proposed method and experimental results.

关键词

MachiningRobotComputer scienceMotion planningSoftwareCompensation (psychology)Focus (optics)SimulationProcess (computing)Control engineering

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