Advances in Robot Kinematics 2014
DOI: 10.1007/978-3-319-06698-1_28
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Geometrical Patterns for Measurement Pose Selection in Calibration of Serial Manipulators

Abstract: International audienc

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Cited by 3 publications
(4 citation statements)
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“…The project present the elastostatic modeling and the design of calibration experiment for the spatial anthropomorphic manipulator KUKA iiwa 14 R820, first, for the stiffness modeling we used two approaches to build the cartesian stiffness matrix namely VJM and MSA modeling, then for the calibration, using wise decomposition of the manipulator structure into two planar serial sub-chains, and the properties depicted in [1], we were able to build 16 measurements configurations describing the optimal pose The complete and irreducible model of the robot was established to perform the calibration simulation, the latter showed clear improvement in the parameters identification with the optimal plan obtained which confirms the efficiency of the approach used.…”
Section: Discussionmentioning
confidence: 99%
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“…The project present the elastostatic modeling and the design of calibration experiment for the spatial anthropomorphic manipulator KUKA iiwa 14 R820, first, for the stiffness modeling we used two approaches to build the cartesian stiffness matrix namely VJM and MSA modeling, then for the calibration, using wise decomposition of the manipulator structure into two planar serial sub-chains, and the properties depicted in [1], we were able to build 16 measurements configurations describing the optimal pose The complete and irreducible model of the robot was established to perform the calibration simulation, the latter showed clear improvement in the parameters identification with the optimal plan obtained which confirms the efficiency of the approach used.…”
Section: Discussionmentioning
confidence: 99%
“…In contrast to previous works for calibration the proposed in [1] yields simple geometrical patterns that allow users to take into account the joint and workspace constraints and to find measurement configurations without tedious computations. The main theoretical results are expressed as a set of several properties and rules, which allow user to obtain optimal measurement configurations without any computation, just using superpositions and permutations of the proposed patterns.…”
Section: Related Workmentioning
confidence: 99%
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