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RETRACTED ARTICLE: Input Displacement Neuro-fuzzy Control and Object Recognition by Compliant Multi-fingered Passively Adaptive Robotic Gripper

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This article was retracted on 19 August 2019

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Abstract

The requirement for new flexible adaptive grippers is the ability to detect and recognize objects in their environments. It is known that robotic manipulators are highly nonlinear systems, and an accurate mathematical model is difficult to obtain, thus making it difficult make decision strategies using conventional techniques. Here, an adaptive neuro fuzzy inference system (ANFIS) for controlling input displacement and object recognition of a new adaptive compliant gripper is presented. The grasping function of the proposed adaptive multi-fingered gripper relies on the physical contact of the finger with an object. This design of the each finger has embedded sensors as part of its structure. The use of embedded sensors in a robot gripper gives the control system the ability to control input displacement of the gripper and to recognize particular shapes of the grasping objects. Fuzzy based controllers develop a control signal according to grasping object shape which yields on the firing of the rule base. The selection of the proper rule base depending on the situation can be achieved by using an ANFIS strategy, which becomes an integrated method of approach for the control purposes. In the designed ANFIS scheme, neural network techniques are used to select a proper rule base, which is achieved using the back propagation algorithm. The simulation results presented in this paper show the effectiveness of the developed method.

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Change history

  • 19 August 2019

    The Editor-in-Chief has retracted this article [1] because validity of the content of this article cannot be verified.

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Authors and Affiliations

  1. Faculty of Mechanical Engineering, Deparment for Mechatronics and Control, University of Niš, Aleksandra Medvedeva 14, 18000, Niš, Serbia

    Dalibor Petković & Nenad D. Pavlović

  2. Department of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, 50603, Kuala Lumpur, Malaysia

    Shahaboddin Shamshirband, Nor Badrul Anuar & Aznul Qalid Md Sabri

  3. Department of History, Faculty of Arts and Social Sciences Building, University of Malaya, 50603, Kuala Lumpur, Malaysia

    Zulkanain Bin Abdul Rahman

Authors
  1. Dalibor Petković
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  2. Shahaboddin Shamshirband
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  3. Nor Badrul Anuar
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  4. Aznul Qalid Md Sabri
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  5. Zulkanain Bin Abdul Rahman
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  6. Nenad D. Pavlović
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Corresponding authors

Correspondence to Dalibor Petković or Shahaboddin Shamshirband.

Additional information

The Editor-in-Chief has retracted this article because validity of the content cannot be verified. This article showed evidence of substantial text overlap and authorship manipulation. None of the co-authors agree to this retraction.

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Petković, D., Shamshirband, S., Anuar, N.B. et al. RETRACTED ARTICLE: Input Displacement Neuro-fuzzy Control and Object Recognition by Compliant Multi-fingered Passively Adaptive Robotic Gripper. J Intell Robot Syst 82, 177–187 (2016). https://doi.org/10.1007/s10846-015-0182-6

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  • DOI: https://doi.org/10.1007/s10846-015-0182-6

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