Submitted paper will be peer reviewed by conference committees, and accepted papers will be included into Conference Proceedings, which is submitted for indexing to EI Compendex, Scopus, et al.

The conference is soliciting state-of-the-art research papers in the following areas of interest:

(T1) Smart Manufacturing

AI and machine learning to enhance the intelligence of manufacturing processes.

Adaptive manufacturing systems that optimize production processes through real-time data analysis.

(T2) Additive Manufacturing (3D Printing)

New materials and applications of additive manufacturing technologies, including metals, plastics, and biomaterials.

(T3) Digitalization and Industry 4.0

Application of the Internet of Things (IoT) in smart factories for collecting and analyzing data from interconnected devices.

Comprehensive digital production and virtual manufacturing simulations to optimize operations.

(T4) Robotics and Automation Technologies

Collaborative robots and optimizing human-robot collaboration.

Advanced robot vision and perception systems for complex manufacturing tasks.

(T5)Micro and Nano Manufacturing

Micro and nano-level processing technologies, such as laser micro-manufacturing and nanoimprinting.

Micro-nanostructures and devices for applications in electronics, healthcare, and materials science.

(T6) Networked Manufacturing Systems

Multi-factory networks.

Distributed network control systems and cloud manufacturing platforms.

(T7) Intelligent Sensors and Monitoring Systems

Sensors for equipment monitoring and fault diagnosis.

Real-time monitoring and predictive maintenance technologies.

(T8) Materials Science and Engineering

Application of new materials (such as smart materials, metamaterials, and energy-storage materials) in mechatronics.

Techniques for materials to improve performance.

(T9) Green Manufacturing and Sustainable Development

These research directions represent significant development trends and technological innovations in the field of mechatronics and manufacturing, aimed at improving manufacturing efficiency, reducing environmental impact, and promoting automation and intelligent development.