​​The Fourth International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration 

Shantou, China  

December 18-19, 2020



Local landscape

Keynote Speech



Bin Xin, PhD, Professor

School of Automation, Beijing Institute of Technology       

Title: Aerial-Surface Cooperation of Heterogeneous Unmanned Vehicles

         in Complex Missions

      The aerial-surface cooperation has become a frontier and hotspot of the research on unmanned systems. It has a wide range of applications, e.g., search and rescue, forest fire fighting and danger detection. This report shows the various patterns of aerial-surface cooperation as well as its systematic taxonomy. Then, taking a typical aerial-surface cooperation system and its application in complex cooperation missions as an example, this report also presents a kind of new cooperative planning problems and their solutions.

      Dr. Bin Xin received his Bachelor’s degree and Ph.D. degree from Beijing Institute of Technology in 2004 and 2012, respectively. Since 2018, he is a professor with the School of Automation, Beijing Institute of Technology. His research interests include unmanned vehicles, multi-agent systems, optimization methods and computational intelligence. He is the author of four books and over 100 research papers. He is an awardee of the 18th Guan Zhao-Zhi Award (2012) and a recipient of the Excellent Young Scientists Fund of the National Natural Science Foundation of China (2018). He serves as an Associate Editor for the journal Unmanned Systems, Journal of Systems Science and Complexity, Journal of Advanced Computational Intelligence and Intelligent Informatics, and the Wiley journal Advanced Control for Applications: Engineering and Industrial Systems. 
  • The bird's-eye view of Shantou University
  • Nan’ao  Island
  • Nan'ao Bridge
  • Zhongshan Pavilion
  • Shantou Coastal Corridor
  • Lotus Pond
  • Gentleman Sculpture Group
Xiaomin Zhu, PhD, Professor

College of Systems Engineering at National University of Defense Technology, Changsha, China    

Title: Aggregation and emergence of swarm based on the evolution mechanism of organism

      Swarm intelligence is an important research field of artificial intelligence, and it is also the inevitable trend of the development of single agent intelligence. Inspired by the aggregation and emergence of biological swarm in nature, scholars at home and abroad are conducting research on swarm intelligence to improve the characteristics of swarm, such as large-scale and strong robustness. This report focuses on the generation and transformation of swarm under the control of gene regulatory networks. Gene regulatory network (GRN) is an efficient method to generate swarm formation. Under the control of gene regulatory network, the swarm can be deployed to track or entrap targets. By adding the cooperation between the swarm and the neighbors and obstacles in the task environment, the performance of the swarm in the target trapping task is effectively improved. The proposed network structure is demonstrated by simulations and experiments on Kilobots. Finally, the future development directions of the swarm are prospected from the task diversity, limited environment, task environment changes and other aspects.

      Xiaomin Zhu received the Ph.D. degree in computer science from Fudan University, Shanghai, China, in 2009. In the same year, he received the Shanghai Excellent Graduate Award. He is currently a Professor in the College of Systems Engineering at National University of Defense Technology, Changsha, China. His research interests include scheduling and resource management in distributed systems. He has published more than 150 research articles in refereed journals and conference proceedings such as IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, Journal of Parallel and Distributed Computing, Journal of Systems and Software, AAAI, and SIGKDD.