Research Topic

Robotics, Neural Networks and Cyber-Physical Systems Applied to Sustainable Development and Advanced Manufacturing

About this Research Topic

In past decades, robotics and neural network technology has been extensively studied in control engineering, aerospace, automotive, energy science, and many other fields. In order to increase the degree of automation and efficiency, the industries will increasingly utilize IoT, robotics, AI and others. The ...

In past decades, robotics and neural network technology has been extensively studied in control engineering, aerospace, automotive, energy science, and many other fields. In order to increase the degree of automation and efficiency, the industries will increasingly utilize IoT, robotics, AI and others. The use of highly adaptable robotic systems will expand the range of tasks that can be automated and will also help speed up the production, future robotics will be more proficient in handling various tasks in the industry and society. With the emergence of the Industry 4.0, artificial intelligence (AI) and advanced manufacturing have become the backbone of the promotion of industrial upgrading and the transformation of the real economy, every industry requires some automation and intelligence that is combined in the form of embedded systems. How to combine intelligent methods to promote the rapid development of advanced manufacturing and achieve sustainable development has become a challenge facing more and more professionals.

Nowadays, the Internet and Cyber-Physical System (CPS) constitute an important part of daily life. CPS is the integration of physical and logical systems, including the interaction between digital, analog and artificial components. These systems are the establishment factors for various applications. The next generation of industry will be built on CPS. With the development and popularization of CPS technology, the use of computers and networks to achieve functional expansion of physical equipment is ubiquitous, and will promote the upgrading of industrial products and technologies, greatly improving the competitiveness in major industrial fields such as aerospace, defense, industrial automation, etc.

This research topic is devoted to exploring the key theories, latest trends and application prospects in the field of robotics, neural networks and CPS in tackling the challenges pose for sustainable development and advanced manufacturing. To achieve this goal, this research topic will seek the latest research in the following areas, including but not limited to:

• Artificial neural computation
• Biological neural network modeling
• Robotics and intelligent information system
• Sensors and data processing in robotics
• CPS safety and security
• Neural network learning methods
• Robotics within advanced manufacturing
• CPS with federated learning (FL) and AI techniques
• Embedded AI and machine learning for real-time CPS
• Biometric systems and forensics applications
• Key supporting technologies for robotics, neural networks and CPS

All contributions should be within the scope of this Research Topic and the journal.


Keywords: Robotics, Neural Networks, Cyber-Physical Systems, Sustainable Development, Advanced Manufacturing


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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Submission Deadlines

15 July 2021 Abstract
15 September 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

15 July 2021 Abstract
15 September 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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