Guest Editors
Dr. Rui Araújo, University of Coimbra, Portugal
Dr. Jiafu Su, Chongqing Technology and Business University, China
Summary
With the continuous development of information technology and communication technology, emerging concepts and technologies such as big data, Industry 4.0, the Internet of Things (IoT), cloud computing, Cyber-Physical Systems (CPSs), digital twins (DT), and next-generation artificial intelligence (AI) have endowed the manufacturing industry with intelligence. The resulting intelligent manufacturing plays a crucial role in promoting high-quality and high-efficiency economic development and enhancing the precision of product manufacturing. Industrial robots, as key resources in the intelligent manufacturing process, require effective control and management to ensure the stability of the production process and the quality of products. Currently, intelligent manufacturing, the development of industrial robots, and control engineering in the manufacturing process have become hot topics for researchers and the industry worldwide.
With the theme "Intelligent Manufacturing, Robotics and Control Engineering", the purpose of this special issue is to explore the challenges and urgent issues in the field of intelligent manufacturing. It aims to investigate the applications and development of industrial robots in intelligent manufacturing, as well as the control engineering issues within the realm of intelligent manufacturing.
This special issue welcomes original research articles and review articles. Research areas include (but are not limited to) the following topics:
Intelligent Manufacturing Emerging Technologies' Impact on Intelligent Manufacturing； Urgent Challenges Faced by Intelligent Manufacturing；
Robotics Applications and Development of Industrial Robots in Intelligent Manufacturing； Development and Applications of Industrial Robots Intelligent Algorithms；
Human-Machine Collaboration；
Intelligent Factories Control Systems；
Industrial Process Control Intelligent Decision-Making Estimation, Modeling and Simulation; Virtual Sensors or Soft Sensors
Keywords
Artificial Intelligence, Mechanical Manufacturing, Control Systems, Robotic Systems, Industrial Robots
Published Papers
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