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Intelligent Mechatronic Systems—Materials, Sensors and Interfaces: 2nd Edition

This special issue belongs to the section “Intelligent Sensors“.

Special Issue Information

Dear Colleagues,

Due to the high interest of scientists in the first edition of Special Issue "Intelligent Mechatronic Systems—Materials, Sensors and Interfaces" published in Sensors journal, editors decided to continue this series as a second volume. Taking into account the balanced coverage of all scientific areas, the group of guest editors has been extended for the needs of the special issue.

Thematic scope of the special issue:

  • intelligent mechatronic systems in manufacturing and industrial robotics;
  • intelligent mechatronic systems and cyber-physical production systems;
  • intelligent mechatronic systems using Internet of Things (IoT);
  • intelligent mechatronic systems in smart factories;
  • decision support systems using artificial intelligence methods for mechatronic systems;
  • innovative human–machine interactions for intelligent mechatronic systems;
  • industrial big data analytics in Industry 4.0;
  • artificial intelligence applications in mechatronic systems;
  • intelligent materials;
  • innovative use of new materials;
  • testing the properties and structure of materials in Industry 4.0.

Prof. Dr. Tomasz Trawiński
Prof. Dr. Sławomir Duda
Prof. Dr. Mirosław Pajor
Dr. Andrzej Burghardt
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • mechatronic systems
  • intelligent materials
  • control systems
  • robotics
  • electromechanical systems dynamics
  • vibration and control
  • smart sensors
  • human–machine interface and teaming
  • autonomous robotics
  • Industry 4.0

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Sensors - ISSN 1424-8220