首页 | 本学科首页   官方微博 | 高级检索  
检索        


Improving backdrivability in geared rehabilitation robots
Authors:Tobias Nef and Peter Lum
Institution:(1) Department of Biomedical Engineering, The Catholic University of America, Washington DC, USA;(2) Center for Applied Biomechanics and Rehabilitation Research, National Rehabilitation Hospital, Washington DC, USA
Abstract:Many rehabilitation robots use electric motors with gears. The backdrivability of geared drives is poor due to friction. While it is common practice to use velocity measurements to compensate for kinetic friction, breakaway friction usually cannot be compensated for without the use of an additional force sensor that directly measures the interaction force between the human and the robot. Therefore, in robots without force sensors, subjects must overcome a large breakaway torque to initiate user-driven movements, which are important for motor learning. In this technical note, a new methodology to compensate for both kinetic and breakaway friction is presented. The basic strategy is to take advantage of the fact that, for rehabilitation exercises, the direction of the desired motion is often known. By applying the new method to three implementation examples, including drives with gear reduction ratios 100–435, the peak breakaway torque could be reduced by 60–80%.
Keywords:Backdrivability  Friction  Breakaway friction  Human–  robot interaction  Rehabilitation robotics
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号