Abstract
In robotics, pose errors are known as positional and rotational errors of a given mechanical system. Those errors are commonly produced by the so-called joint clearances, which are the play between pairing elements. Predicting pose errors can be done via the formulation of two optimization models holding continuous domains, which belong to the NP-Hard class of problems. In this paper, we focus on the use of constraint programming in order to provide rigorous and reliable solution to this problem.
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Soto, R., Caro, S., Crawford, B., Monfroy, E. (2013). Robust Solutions for a Robotic Manipulator Optimization Problem. In: Ferrández Vicente, J.M., Álvarez Sánchez, J.R., de la Paz López, F., Toledo Moreo, F.J. (eds) Natural and Artificial Computation in Engineering and Medical Applications. IWINAC 2013. Lecture Notes in Computer Science, vol 7931. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38622-0_47
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DOI: https://doi.org/10.1007/978-3-642-38622-0_47
Publisher Name: Springer, Berlin, Heidelberg
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