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RETRACTED ARTICLE: Estimation of contact forces of underactuated robotic finger using soft computing methods

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This article was retracted on 13 January 2020

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Abstract

Underactuated robotic finger could be used as adaptive mechanism with simple control algorithm. In this study the main aim was to estimate the robotic finger contact forces by soft computing methods. Soft computing approach was applied in order to overcome high nonlinearity in the finger behavior. Kinetostatic analysis was performed in order to extract the input/output data samples for the soft computing methods. The main goal was to estimate the contact forces based on contact locations with the objects. Seven soft computing methods were applied: genetic programming, support vector machine, support vector machine with firefly algorithm, artificial neural network, support vector machine with wavelet transfer function), extreme learning machine and extreme learning machine with wavelet transfer function. The reliability of these computational models was analyzed based on simulation results. Extreme learning machine with wavelet transfer function shown the best accuracy for the contact forces estimation.

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Change history

  • 13 January 2020

    The Editor-in-Chief has retracted this article (Joviæ et al. 2019) because validity of the content of this article cannot be verified. This article showed the evidence of substantial text overlap [most notably with the articles cited (Petkovic et al. 2016; Mladenovic et al. 2016)] and authorship manipulation. All authors disagree about this retraction.

  • 13 January 2020

    The Editor-in-Chief has retracted this article (Jovi�� et al. 2019) because validity of the content of this article cannot be verified. This article showed the evidence of substantial text overlap [most notably with the articles cited (Petkovic et al. 2016; Mladenovic et al. 2016)] and authorship manipulation. All authors disagree about this retraction.

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Authors and Affiliations

  1. Faculty of Technical Sciences, University of Priština, Kneza Milosa 7, Kosovska, Mitrovica, 38220, Serbia

    Srđan Jović, Nebojša Arsić & Ljubomir M. Marić

  2. University of Niš, Pedagogical Faculty in Vranje, Partizanska 14, 17500, Vranje, Serbia

    Dalibor Petković

Authors
  1. Srđan Jović
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  2. Nebojša Arsić
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  3. Ljubomir M. Marić
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  4. Dalibor Petković
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Corresponding author

Correspondence to Dalibor Petković.

Additional information

The Editor-in-Chief has retracted this article [1] because the validity of the content of this article cannot be verified. This article showed evidence of substantial text overlap (most notably with the articles cited [2, 3]) and authorship manipulation. All authors disagree with this retraction.

References

1. Jović, S., Arsić, N., Marić, L.M. et al. J Intell Manuf (2019) 30: 891. https://doi.org/10.1007/s10845-016-1292-0

2. Dalibor Petkovic et al. Analyzing of flexible gripper by computational intelligence approach Mechatronics (2016) Vol. 40, pp 1-16 DOI 10.1016/j.mechatronics.2016.09.001

3. Igor Mladenovic et al. Extreme learning approach with wavelet transform function for forecasting wind turbine wake effect to improve wind farm efficiency Advances in Engineering Software (2016) Vol. 96, pp 91-95 DOI 10.1016/j.advengsoft.2016.02.011

Appendix

Appendix

See Table 5.

Table 5 Experimental data for contact forces
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Jović, S., Arsić, N., Marić, L.M. et al. RETRACTED ARTICLE: Estimation of contact forces of underactuated robotic finger using soft computing methods. J Intell Manuf 30, 891–903 (2019). https://doi.org/10.1007/s10845-016-1292-0

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  • DOI: https://doi.org/10.1007/s10845-016-1292-0

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