Mechatronics Technology is an international, interdisciplinary, peer-reviewed, and gold open access journal, which covers the application of more recent techniques, innovations, and technologies used in sensing, signal processing, modeling, and actuation of a wide range of applications that includes electro-mechanical systems, hydro-mechanical systems, intelligent systems, robotics, manufacturing, bio-medical systems, etc.

The journal provides a platform for researchers and technicians to publish their original theoretical, application-oriented, and experimental results and it publishes Original Research Articles, Topical Reviews, Short Letters, and Perspectives. Areas of interest to the Mechatronics Technology readership may include, but are not limited to, the following subjects:

    Sensors and actuators
    Signal Processing and Measurement
    Modeling, Digital Twins, and System Identification
    AI, Machine Learning and Data-driven systems
    Control Systems and Motion Control
    Robotics and Human-Machine Interfaces
    Reliability and Resilience of Systems
    Advanced Manufacturing and Smart Systems
    Energy Systems and Smart Grids
    Condition Monitoring and Fault Diagnosis
    Biomedical Systems and Healthcare Applications
    Industrial and Electrical Drive Technologies
    Offshore Mechatronics
    Autonomous Systems and Aerospace Systems

Special Issue on Innovations in Electromechanical Systems through Intelligent Equipment and Digital Twin Technology under Industry 5.0
Submission Date: 2026-04-30

As Industry 5.0 continues to reshape manufacturing paradigms, the integration of intelligent equipment and digital twin technology is driving groundbreaking innovations in electromechanical systems. This special issue invites researchers and practitioners to explore the transformative impact of these technologies in the context of advanced industrial applications. The focus of this issue is on the use of intelligent equipment and digital twins to optimize the performance, efficiency, and adaptability of electromechanical systems in modern manufacturing environments. This issue seeks contributions that present cutting-edge research, case studies, and reviews addressing the role of these technologies in improving system design, operational processes, and predictive maintenance capabilities.

Topics include but are not limited to:

    Design and architecture of intelligent electromechanical systems and digital twins
    Advanced control strategies leveraging digital twins for real-time monitoring and optimization
    Applications of intelligent equipment in predictive maintenance and fault diagnosis
    Integration of Internet of Things and digital twins for enhanced system interoperability
    Innovations in energy efficiency and resource management within electromechanical systems
    Real-world case studies and practical implementations of intelligent equipment and digital twins in industrial settings
    Challenges and solutions in the adoption of digital twin technologies in electromechanical systems
    Ethical, security, and privacy considerations in the digital transformation of electromechanical systems