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上肢残疾用户使用六自由度机器人手臂执行复杂任务:一项研究。

Performing Complex Tasks by Users With Upper-Extremity Disabilities Using a 6-DOF Robotic Arm: A Study.

作者信息

Al-Halimi Reem K, Moussa Medhat

出版信息

IEEE Trans Neural Syst Rehabil Eng. 2017 Jun;25(6):686-693. doi: 10.1109/TNSRE.2016.2603472. Epub 2016 Aug 26.

Abstract

In this paper, we report on the results of a study that was conducted to examine how users suffering from severe upper-extremity disabilities can control a 6 degrees-of-freedom (DOF) robotics arm to complete complex activities of daily living. The focus of the study is not on assessing the robot arm but on examining the human-robot interaction patterns. Three participants were recruited. Each participant was asked to perform three tasks: eating three pieces of pre-cut bread from a plate, drinking three sips of soup from a bowl, and opening a right-handed door with lever handle. Each of these tasks was repeated three times. The arm was mounted on the participant's wheelchair, and the participants were free to move the arm as they wish to complete these tasks. Each task consisted of a sequence of modes where a mode is defined as arm movement in one DOF. Results show that participants used a total of 938 mode movements with an average of 75.5 (std 10.2) modes for the eating task, 70 (std 8.8) modes for the soup task, and 18.7 (std 4.5) modes for the door opening task. Tasks were then segmented into smaller subtasks. It was found that there are patterns of usage per participant and per subtask. These patterns can potentially allow a robot to learn from user's demonstration what is the task being executed and by whom and respond accordingly to reduce user effort.

摘要

在本文中,我们报告了一项研究的结果,该研究旨在考察患有严重上肢残疾的用户如何控制一个6自由度的机器人手臂来完成复杂的日常生活活动。该研究的重点不是评估机器人手臂,而是考察人机交互模式。招募了三名参与者。每位参与者被要求执行三项任务:从盘子里吃三片预先切好的面包、从碗里喝三口汤、用杠杆手柄打开一扇右手门。这些任务中的每一项都重复进行了三次。机器人手臂安装在参与者的轮椅上,参与者可以自由移动手臂以完成这些任务。每项任务都由一系列模式组成,其中一种模式被定义为机器人手臂在一个自由度上的运动。结果表明,参与者在进食任务中总共使用了938次模式运动,平均为75.5次(标准差10.2);在喝汤任务中使用了70次(标准差8.8)模式运动;在开门任务中使用了18.7次(标准差4.5)模式运动。然后将任务细分为更小的子任务。研究发现,每个参与者和每个子任务都有使用模式。这些模式可能会让机器人从用户的示范中了解正在执行的任务是什么、由谁执行,并相应地做出反应,以减轻用户的工作量。

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