复杂环境下无人集群系统自主协同关键技术

In complex environments with high dynamics, uncertainty and resource constraints, the unmanned swarm system will face challenges in all fields of the "Observation-Orientation-Decision-Action (OODA)" loop when performing complicated tasks such as collaborative area search and swarm optimal scheduling. To improve the adaptability of unmanned swarm systems to different scenarios, it is necessary to break through the key technologies for autonomous cooperation of unmanned swarm systems in complex environments. Based on the theory of robust autonomous cooperation of large-scale heterogeneous unmanned swarm systems in complex environments, this paper gives a review of the design and modeling methods of adaptive heterogeneous architecture for unmanned swarm systems, and discusses three problems:high-dimensional situation distributed perception and cognition, intelligent decision-making with guiding, trusting and evolving ability, and autonomous cooperative control of the unmanned swarm system in complex environments. Firstly, the research progress of autonomous cooperation of unmanned swarm system in complex environment is summarized. Secondly, the challenges faced by OODA task loop of unmanned swarm system are analyzed. Then, the key technologies involved in autonomous cooperation of unmanned swarm system in complex environment and their progress are reviewed. Finally, the future development of autonomous cooperation of unmanned swarm system is given.