Haptic Rendering Based on RBF Approximation from Dynamically Updated Data

Authors Jan Fousek, Tomas Golembiovsky, Jiri Filipovic, Igor Peterlik



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OASIcs.MEMICS.2010.26.pdf
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Author Details

Jan Fousek
Tomas Golembiovsky
Jiri Filipovic
Igor Peterlik

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Jan Fousek, Tomas Golembiovsky, Jiri Filipovic, and Igor Peterlik. Haptic Rendering Based on RBF Approximation from Dynamically Updated Data. In Sixth Doctoral Workshop on Mathematical and Engineering Methods in Computer Science (MEMICS'10) -- Selected Papers. Open Access Series in Informatics (OASIcs), Volume 16, pp. 26-31, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011) https://doi.org/10.4230/OASIcs.MEMICS.2010.26

Abstract

In this paper, an extension of our previous research focused on haptic rendering based on interpolation from precomputed data is presented. The technique employs the radial-basis function (RBF) interpolation to achieve the accuracy of the force response approximation, however, it assumes that the data used by the interpolation method are generated on-the-fly during the haptic interaction. The issue caused by updating the RBF coefficients during the interaction is analyzed and a force-response smoothing strategy is proposed.

Subject Classification

Keywords
  • haptic rendering
  • radial-basis function approximation
  • precomputation
  • deformation modeling

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