自动化学科面临的挑战

This paper analyzes the current development of automation science and technology, including fields of control theory and application, pattern recognition and intelligent system, navigation guidance and control, system science and engineering, as well as the interdisciplinary research of artificial intelligence and automation. Combining with the requirements of science and technology development, domestic and international research frontiers, and emerging technologies, the priority areas and specific research directions are put forward to develop intelligent control theory and methodology, high performance robot, cyber-physical system, navigation and control technology, equipment automation technology, autonomous intelligent system and artificial-intelligence-based automation. It is expected to establish the theory framework of data-driven control and artificial-intelligence-based automation. With the intelligent automation of human-machine cooperation and multi-technology integration, it will provide theoretical and technical support for the realization of comprehensive intelligent society.