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具身智能无人潜航器关键技术及应用场景研究

Research on Technologies and Application Scenarios of Embodied Artificial Intelligence AUVs

  • 摘要: 具身智能无人潜航器通过与环境交互,能够自主感知、决策、行动,并从经验反馈中实现智能增长。无人自主潜航器已具备一定智能化水平,但主要作业模式仍然是预设程序加远程遥控。为突破该模式局限性,将具身智能技术与无人潜航器深度融合,研发具身智能无人潜航器,已成为重要发展方向。辨析了具身智能的概念,探讨了无人潜航器的具身智能实现方法,从“感知−决策−行动”闭环角度,梳理了具身智能无人潜航器关键技术,研判其典型军民应用场景及面临的挑战。面对具身智能技术快速发展的局面,亟需加速具身智能无人潜航器研发应用,推动其智能化水平及作业能力跃升。

     

    Abstract: By interacting with environment, embodied artificial intelligence autonomous underwater vehicles (EAI-AUVs) can autonomously perform perception, decision, and action, and can achieve intelligent growth through feedback. The intelligence of autonomous underwater vehicles (AUVs) is constantly improving, but the main operation mode is still preset program control combined with remote control. To break through the limitations of this mode, developing EAI-AUVs by integrating EAI technology with AUVs has become an important direction. In this paper, the concept of EAI, the basic conditions of developing EAI for AUVs, and the realization methods of EAI-AUV are analyzed. From the perspective of“perception-decisions-action”loop, the key technologies of EAI-AUVs are sorted out, and the typical military and civilian application scenarios as well as the challenges are analyzed. In response to the rapid development of EAI technology, it is necessary to accelerate the research and application of EAI-AUVs, and improve the intelligence level and operational capability.

     

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