Intelligent Manufacturing Engineering belongs to a broad category of engineering disciplines. The main specialties are, automation and control, information and communication technology, materials and manufacturing engineering.

1, engineering discipline.

Engineering discipline is an applied science aimed at solving practical problems, designing and creating practical products, systems and structures through the application of basic scientific knowledge and technical methods such as mathematics, physics, chemistry, biology and so on. There are a wide range of fields and specializations, such as, smart manufacturing engineering.

2, automation and control class.

The main study of automation technology and control systems in the manufacturing process, including industrial automation, control theory and technology, robotics, sensor technology and other four categories.

3, information and communication technology category.

Focusing on the application of information technology in intelligent manufacturing, including computer science and technology, cloud computing and big data, Internet of Things technology, artificial intelligence and so on.

4, materials and manufacturing engineering class.

Its focus is on materials science and manufacturing engineering technology in smart manufacturing, including materials science and engineering, advanced manufacturing engineering technology, mechanical design and manufacturing, etc.

Other specialized knowledge and research directions:

1. Industrial automation.

Research and application of automation systems and technologies in the industrial production process, including production line automation, factory automation, process control and so on. The main focus is on how to realize the automation, optimization and intelligence of the production process, and improve production efficiency and quality.

2, control theory and technology.

The study of control system theory and methods, including classical control, modern control, intelligent control and so on. The main focus is on how to design and implement control systems so that they can stably and accurately control the state and behavior of the controlled object and meet the predetermined performance indexes.

3, robotics.

Research and application of robotics system technology and methods, including robot control, perception and decision-making, path planning and so on. The main focus is on how to design and control robots so that they can complete a variety of work tasks and realize autonomous operation and collaboration.