T-ASE- Special Issue on Artificial Intelligence for Autonomous Unmanned System Applications- Call For Papers

With the development of 5G, and big data, artificial intelligence has become very popular for the Computer, Information Science and Engineering community in recent years. The reason mainly comes from two aspects: the theoretical advances in related disciplines such as machine learning, deep learning, and reinforcement learning have witnessed great breakthrough; the technical applications in automation for autonomous unmanned system have solved many actual problems and accelerated its development. In many industries, such as logistics, environmental sanitation, shuttle buses, autonomous unmanned system are key to reducing operating costs and increasing customer service satisfaction. Companies like Google, Tesla, and Apple all launched their industrial products such as autonomous unmanned vehicle with advanced functions that are made possible due to the development of artificial intelligence factors including the braincomputer interface, information perception, interaction, and intelligent control and learning, to name just a few. These developments indicate that artificial intelligence is playing an unprecedented role in modern automation systems. An autonomous unmanned system includes perception, navigation, localization, making-decision, control, testing, verification and many other technologies. In the real world, complex and variable environmental conditions increase the difficulty of research. Nevertheless, there are many challenging issues to explore in the implementation of artificial intelligence for a practical automatic system, such as system design, security, robustness, and accessibility.

The central theme of the Special Issue will be emerging technologies and future directions in artificial intelligence for autonomous unmanned system applications, where algorithms and theories-based modeling, analysis, control, and optimization are the focus areas. The goals of the special issue are (1) to present the state-of-the-art research in science, engineering and methodologies for artificial intelligence in automation for autonomous unmanned system applications, and (2) to provide a forum for experts to disseminate their most recent advances and views on future perspectives in the field. Submissions of scientific results from experts in academia and industry worldwide are strongly encouraged. Topics to be covered include, but are not limited to:

• Theoretical foundations for artificial intelligence for autonomous unmanned system applications
• Artificial intelligence for real-time object detection, recognition and tracking
• Artificial intelligence for map building and localization
• Artificial intelligence for real-time perception
• Artificial intelligence for autonomous control
• Artificial intelligence for autonomous decision-making
• Artificial intelligence for motion planning
• Artificial intelligence for path tracking and motion control
• 5G techniques for autonomous unmanned system
• Swarm intelligence optimization in autonomous unmanned system networks
• Crowdsensing and edge computing in autonomous unmanned systems
• Artificial intelligence for intelligence testing and verification
• Bioinspired artificial intelligence in autonomous unmanned system applications
• Brain-computer interface-based autonomous unmanned system applications

Important Dates

Paper submission deadline: 30 December 2020

Completion of the first round review: 1 April 2021

Completion of the second round review: 1 June 2021

Final submission due: 1 August 2021

Tentative publication date: January 2022

Paper Submission

All papers are to be submitted through the IEEE’s Manuscript Central for Transactions on Automation Science and Engineering http://mc.manuscriptcentral.com/t-ase. Please select the Manuscript Category “Artificial Intelligence for Autonomous Unmanned System Applications -Based Special Issue” under “Type” in Step 1 and this specific Special Issue in Step 6 of your article’s submission process. All manuscripts must be prepared according to the IEEE Transactions on Automation Science and Engineering publication guidelines (http://www.ieee-ras.org/publications/t-ase). Please address inquiries to ghb48@ustc.edu.cn.