ISIR-UPMC, Institut des Systèmes Intelligents et de Robotique, CNRS UMR 7222, Université Pierreet Marie Curie, 75252 Paris Cedex, France.
IEEE Trans Neural Syst Rehabil Eng. 2010 Aug;18(4):389-97. doi: 10.1109/TNSRE.2010.2056388. Epub 2010 Jul 19.
While a large number of robotic exoskeletons have been designed by research teams for rehabilitation, it remains rather difficult to analyse their ability to finely interact with a human limb: no performance indicators or general methodology to characterize this capacity really exist. This is particularly regretful at a time when robotics are becoming a recognized rehabilitation method and when complex problems such as 3-D movement rehabilitation and joint rotation coordination are being addressed. The aim of this paper is to propose a general methodology to evaluate, through a reduced set of simple indicators, the ability of an exoskeleton to interact finely and in a controlled way with a human. The method involves measurement and recording of positions and forces during 3-D point to point tasks. It is applied to a 4 degrees-of-freedom limb exoskeleton by way of example.
虽然研究团队已经设计了大量的机器人外骨骼用于康复治疗,但要分析它们与人类肢体精细互动的能力仍然相当困难:没有性能指标或一般方法来真正描述这种能力。当机器人技术成为一种公认的康复方法,并且正在解决 3D 运动康复和关节旋转协调等复杂问题时,这一点尤其令人遗憾。本文的目的是提出一种通过一组简单指标来评估外骨骼与人类进行精细和受控交互能力的通用方法。该方法涉及在 3D 点对点任务期间测量和记录位置和力。通过示例将其应用于 4 自由度肢体外骨骼。