Geometric and Stiffness Modeling and Design of Calibration Experiments for the 7 dof Serial Manipulator KUKA iiwa 14 R820
This work addresses calibration efficiency for industrial manipulators, but it is incremental as it extends existing planar methods to a more complex 3D case.
The authors tackled the problem of elastostatic modeling and calibration for a 7 DOF serial manipulator by extending optimal pose selection from planar to 3D manipulators, using a decomposition into sub-chains, and applied it to the KUKA iiwa14 R820 with methods like VJM and MSA for calibration and stiffness modeling.
The present project deals with the elastostatic modeling and calibration experiment of spacial industrial manipulators using an optimal selection of measurements pose, for the calibration procedure, the optimal pose selection aims to the efficiency improvement of identification procedure for serial manipulators which reduces noise impact on the parameters identification precision, it is usually used for planar manipulators, our work is mainly to extend the approach for a more complicated manipulator in 3D space using a wise decomposition of the spacial manipulator into a set of serial sub-chains, the optimal pose configuration is then used in the calibration procedure using the complete and irreducible model for the 7 DOF serial manipulator. The methodology is illustrated with the anthropomorphic industrial robot KUKA iiwa14 R820 for which, we performed the calibration and constructed the stiffness modeling using two different approaches namely VJM (Virtual Joint Modeling) and MSA (Matrix Structural Analysis).