康复机器人的自主性:交叉点。

IF 11.2 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Annual Review of Control Robotics and Autonomous Systems Pub Date : 2018-05-01 DOI:10.1146/annurev-control-061417-041727
Brenna D Argall
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引用次数: 0

摘要

在人类康复领域,机器人机器既可用于身体康复,也可用于执行功能性任务。然而,能够感知外部世界和推理高层次控制决策的机器人自主系统却很少出现在这些机器中。特别是在执行功能性任务时,机器人的自主性有助于减轻人类的操作负担,甚至可能增加人类的使用机会。然而,在康复机器人和机器中引入临床上可行的机器人自主性时,还存在着一些严重的、往往是微妙的考虑因素。如今,机器人自主性和康复机器人领域在很大程度上是分开的。本文的主题是这两个领域的交叉点:为康复机器人引入临床上可行的自主解决方案,以及在康复领域实现自主的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Autonomy in Rehabilitation Robotics: An Intersection.

Within the field of human rehabilitation, robotic machines are used both to rehabilitate the body and to perform functional tasks. Robotics autonomy able to perceive the external world and reason about high-level control decisions, however, seldom is present in these machines. For functional tasks in particular, autonomy could help to decrease the operational burden on the human and perhaps even to increase access-and this potential only grows as human motor impairments become more severe. There are however serious, and often subtle, considerations to introducing clinically-feasible robotics autonomy to rehabilitation robots and machines. Today the fields of robotics autonomy and rehabilitation robotics are largely separate. The topic of this article is at the intersection of these fields: the introduction of clinically-feasible autonomy solutions to rehabilitation robots, and opportunities for autonomy within the rehabilitation domain.

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来源期刊
CiteScore
28.30
自引率
2.20%
发文量
25
期刊介绍: The Annual Review of Control, Robotics, and Autonomous Systems offers comprehensive reviews on theoretical and applied developments influencing autonomous and semiautonomous systems engineering. Major areas covered include control, robotics, mechanics, optimization, communication, information theory, machine learning, computing, and signal processing. The journal extends its reach beyond engineering to intersect with fields like biology, neuroscience, and human behavioral sciences. The current volume has transitioned to open access through the Subscribe to Open program, with all articles published under a CC BY license.
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