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在室内导航系统中通过双管制约改善步行路径的生成,用于视力受损的个人.

Qingquan Na, Hui Zhou, Hailei Yuan

    IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
    |March 11, 2024
    PubMed
    概括

    本研究介绍了一种新的步行路径生成方法,用于Smart Cane,一个机器人导航辅助设备. 这种方法通过创建自然,受人制约的路径来增强视力受损人士的室内导航.

    科学领域:

    • 机器人技术 机器人技术 机器人技术
    • 人与计算机的交互
    • 辅助技术 辅助技术 辅助技术

    背景情况:

    • 视障人士在室内导航方面面临重大挑战.
    • 现有的辅助设备往往缺乏自然和高效的导航功能.

    研究的目的:

    • 开发一种先进的步行路径生成方法,用于智能帆船,一个机器人导航辅助设备 (RNA).
    • 确保生成的路径符合人类运动限制,以获得自然和高效的导航体验.
    • 为了改善视力障碍者室内导航.

    主要方法:

    • 使用了线性反向摆形模型 (LIPM) 和线性脚位控制器 (LFPC) 运动原始.
    • 在Smart Cane中集成了一个自主导航框架.
    • 创建专门为视力受损用户的限制量身定制的步行路径.

    主要成果:

    • 提出的方法成功地生成了符合人类运动限制的步行路径.
    • 对比实验验证实了路径生成技术的有效性.
    • 智能手杖在室内环境中展示了安全和有效的指导.

    结论:

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  • 开发的步行路径生成方法是改善视力障碍者室内导航的有希望的解决方案.
  • 智能,利用这种方法,提供了更好的流动性和独立性.
  • 遵守人类运动限制对于自然和高效的辅助导航至关重要.