触觉技术
控制器(灌溉)
人机交互
音频反馈
计算机科学
集合(抽象数据类型)
光学(聚焦)
步态
模拟
导纳
机器人
视力障碍
路径(计算)
工作(物理)
辅助装置
物理医学与康复
人工智能
工程类
心理学
医学
物理
光学
电气工程
精神科
生物
程序设计语言
机械工程
电阻抗
农学
作者
Mario F. Jiménez,Ricardo C. Mello,Teodiano Bastos-Filho,Anselmo Frizera
标识
DOI:10.1016/j.medengphy.2020.04.002
摘要
Robotic assistive devices are able to enhance physical stability and balance. Smart walkers, in particular, are also capable of offering cognitive support for individuals whom conventional walkers are unsuitable. However, visually impaired individuals often need additional sensorial assistance from those devices. This work proposes a smart walker with an admittance controller for guiding visually impaired individuals along a desired path. The controller uses as inputs the physical interaction between the user and the walker to provide haptic feedback hinting the path to be followed. Such controller is validated in a set of experiments with healthy individuals. At first, users were blindfolded during navigation to assess the capacity of the smart walker in providing guidance without visual input. Then, the blindfold is removed and the focus is on evaluating the human-robot interaction when the user had visual information during navigation. The results indicate that the admittance controller design and the design of the guidance path were factors impacting on the level of comfort reported by users. In addition, when the user was blindfolded, the linear velocity assumed lower values than when did not wear it, from a mean value of 0.19 m/s to 0.21 m/s.
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