Intelligent Mechatronic Systems—Materials, Sensors and Interfaces
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 40524
Special Issue Editors
Interests: modeling and research of machining processes; dynamics of machine tools and robots; designing of machine diagnostic systems; intelligent man-machine interfaces and mechatronics
Special Issues, Collections and Topics in MDPI journals
Interests: dynamics of electromechanical systems; feedback control of dynamic systems; vibration with control; smart materials; smart sensors
Special Issues, Collections and Topics in MDPI journals
Interests: interaction; data engineering; intelligent systems; machine learning; mechatronic systems; natural language processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are currently accepting contributions covering, but not limited to, the following topics:
- 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. Mirosław Pajor
Prof. Dr. Sławomir Duda
Prof. Dr. Maciej Majewski
Guest Editors
Manuscript Submission Information
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Keywords
- mechatronic systems
- intelligent materials
- innovative materials
- virtual reality
- computer numerical control (CNC) systems
- control systems
- robotics
- electromechanical systems dynamics
- vibration and control
- smart sensors
- interaction
- human–machine interface and teaming
- decision support
- machine learning
- autonomous robotics
- Industry 4.0
- manufacturing
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