Modélisation et calibration pour une numérisation robotisée

Abstract : Serial robots are designed for repetitive tasks in wide workspaces, and provide good dexterity and flexibility to production lines. Restrictive applications such as parts digitizing can make use of those attractive benefits. However, digitizing needs on accuracy require to work carefully on the quality of the robot end-effector positioning. In this context, a digitizing cell using a 6 axis robot as displacement system for a laser plane sensor (KZ25) was developed. In this cell all calibrations are ensured by an external measurement system (C-Track Creaform) following the end-effector. The goal is to master the digitizing quality and to optimize the operating speed thanks to quick and convenient calibrations (few equipment, installation and constraints).First, the parameters of the robot geometric model are identified with a quick and convenient method we developed, based on the existing circle point analysis method (CPA). A comparative study shows the advantages of our identification method over classic methods. Then a selective method we proposed allows us to complete this geometric model with relevant non-geometric parameters such as flexibilities or backlashes. Robot performances in terms of speed and posing quality are also studied through new performance indexes. Finally, we had to create and validate a calibration method for the position and orientation of the KZ25 sensor in order to exploit the unrestricted orientation provided by the robot end- effector.In our work prospects, a path generation strategy will use those calibrations to create paths for the robot, with mastered digitizing quality and optimized speed.
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Matthias Bordron. Modélisation et calibration pour une numérisation robotisée. Automatique / Robotique. Université Paris-Saclay, 2019. Français. ⟨NNT : 2019SACLN014⟩. ⟨tel-02172323⟩

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