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Robot-Based Calibration Procedure for Graphene Electronic Skin.

Jan Klimaszewski1, Krzysztof Wildner2, Anna Ostaszewska-Liżewska2

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Summary

This study presents a semi-automated calibration method for electronic skin (e-skin) using industrial robots. This approach addresses sensor variability, enhancing the practical application of graphene-based sensors in robotics.

Keywords:
calibrationelectronic skinhuman–machine interface

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Area of Science:

  • Robotics
  • Materials Science
  • Sensor Technology

Background:

  • Electronic skin (e-skin) with screen-printed graphene-based sensors offers potential for robotic applications.
  • Variability in sensor sensitivity and load characteristics poses significant challenges for practical e-skin deployment, especially in large arrays.
  • Existing calibration methods are often manual, time-consuming, and lack repeatability.

Purpose of the Study:

  • To develop and validate a semi-automated calibration procedure for non-homogeneous e-skin arrays.
  • To leverage industrial robotics for efficient and repeatable e-skin calibration.
  • To improve the practical usability of graphene-based electronic skin in robotic systems.

Main Methods:

  • Utilized an industrial robot equipped with a reference force sensor for automated calibration.
  • Developed a data preprocessing pipeline for non-homogeneous sensor matrix data.
  • Implemented sensor modeling techniques to account for individual sensor variations.
  • Applied the methodology to a sample non-homogeneous sensor matrix.

Main Results:

  • The semi-automated calibration procedure significantly speeds up the calibration process.
  • The methodology enhances the repeatability of e-skin calibration.
  • Successfully demonstrated the calibration of a non-homogeneous sensor matrix, providing detailed data preprocessing and modeling insights.
  • The results indicate improved reliability and practical applicability of the e-skin.

Conclusions:

  • Semi-automated calibration using industrial robots is an effective solution for non-homogeneous e-skin arrays.
  • This approach overcomes key limitations of manual calibration, paving the way for wider adoption of e-skin in robotics.
  • Further research can build upon this methodology for more complex e-skin systems and applications.