未知复杂环境下基于兴趣驱动的类脑自主导航技术OA

As unmanned systems become more widely used,traditional navigation technology is difficult to meet the autonomous intelligent navigation performance requirements of unmanned systems when facing complex tasks and unknown environments.Mammals can achieve efficient,intelligent and environment-adaptive navigation behavior driven by interest.The interest-driven brain-inspired autonomous navigation technology inspired by this has the potential to solve the shortcomings of traditional navigation that cannot meet the requirements of real-time,accuracy and low power consumption at the same time.First,the mechanism of mammalian brain navigation is expounded;Second,the technical framework of interest-driven brain-inspired autonomous navigation is summarized;Then,the key technologies and implementation approaches of brain-inspired autonomous navigation are sorted out from four aspects:Self-perception,environmental cognition,memory reasoning and interest decision-making and the shortcomings of related research were pointed out;Finally,the shortcomings of the current brain-inspired autonomous navigation technology were analyzed and prospects for future integrated development were made.