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未知复杂环境下基于兴趣驱动的类脑自主导航技术

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  • 国家科技期刊平台
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随着无人系统的应用越发广泛,传统导航技术很难满足无人系统在面对复杂任务和未知环境时对自主智能导航性能的要求.哺乳动物能够在兴趣驱动下实现高效智能且自适应环境的导航行为,受此启发的基于兴趣驱动的类脑自主导航技术有潜力克服传统导航实时、准确和低功耗不能同时满足的缺点.本文首先阐述了哺乳动物大脑导航机理;其次,总结概括出基于兴趣驱动的类脑自主导航技术框架;再次,从自身感知、环境认知、记忆推理和兴趣决策4个方面梳理了类脑自主导航的关键技术和实现途径,指出了相关研究的缺陷;最后,分析了现阶段类脑自主导航技术的不足,并对未来一体化发展做出展望.
Interest-driven Brain-inspired Autonomous Navigation Technology in Unknown Complex Environments
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.

brain-inspired autonomous navigationinterest-drivencontinuous attractor neural networkbrain-inspired multi-source fusionspiking neural networkbrain-inspired chip

王晨旭、熊智、杨闯

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南京航空航天大学,江苏 南京 211106

先进飞行器导航、控制与健康管理工信部重点实验室,江苏 南京 211106

类脑自主导航 兴趣驱动 连续吸引子神经网络 类脑多源融合 脉冲神经网络 类脑芯片

航空科学基金

2020Z071052001

2024

10.19452/j.issn1007-5453.2024.02.001

航空科学技术
中国航空研究院

航空科学技术

影响因子：0.24
ISSN：1007-5453
年,卷(期)：2024.35(2)
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