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Alexandr Klimchik

Researcher at École des mines de Nantes

Publications -  166
Citations -  2121

Alexandr Klimchik is an academic researcher from École des mines de Nantes. The author has contributed to research in topics: Stiffness & Robot. The author has an hindex of 20, co-authored 146 publications receiving 1494 citations. Previous affiliations of Alexandr Klimchik include Centre national de la recherche scientifique & Institut de Recherche en Communications et Cybernétique de Nantes.

Papers
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Journal ArticleDOI

Enhanced stiffness modeling of manipulators with passive joints

Anatoly Pashkevich, +4 more
- 01 May 2011 - 
TL;DR: In this paper, a non-linear stiffness model for serial and parallel manipulators with passive joints is presented, where the manipulator elements are presented as pseudo-rigid bodies separated by multidimensional virtual springs and perfect passive joints.
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Geometric calibration of industrial robots using enhanced partial pose measurements and design of experiments

Yier Wu, +4 more
- 01 Oct 2015 - 
TL;DR: In this paper, a geometric model for serial manipulators is proposed to reduce the measurement noise impact by means of proper selection of the manipulator configurations in calibration experiments, which takes into account different sources of errors (link lengths, joint offsets, etc).
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Identification of the manipulator stiffness model parameters in industrial environment

Alexandr Klimchik, +6 more
- 01 Aug 2015 - 
TL;DR: In this paper, the authors address the problem of robotic manipulator calibration in real industrial environment, taking into account the elastic properties of both links and joints, and propose physical algebraic and statistical model reduction methods to solve the problem.
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Stiffness modeling for perfect and non-perfect parallel manipulators under internal and external loadings

Alexandr Klimchik, +4 more
- 01 Sep 2014 - 
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Efficiency evaluation of robots in machining applications using industrial performance measure

Alexandr Klimchik, +9 more
- 01 Dec 2017 - 
TL;DR: In this paper, the main focus is made on robot accuracy in milling operation and evaluation robot capacity to perform the machining task with desired precision, with particular attention paid to the proper modeling of manipulator stiffness properties and the cutting force estimation.