基于MEMS的智能软接触面技术在机器人和人体增强系统中的应用

G. Wang, I. Kao
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引用次数: 0

摘要

本文提出了基于机器人理论的智能拟人接触面技术(SACST)框架,将MEMS器件应用于分布式系统中,并整合感官信息进行反馈控制以导入智能。该技术可以应用于座椅、床、轮椅、鞋子和机器人手臂人造皮肤的设计中。SACST采用软接触模型,该模型包含赫兹接触模型(Hertz, 1882),接触界面的法向力和压力分布,摩擦极限面和接触刚度,通过嵌入式MEMS传感器系统实时动态重塑表面。这样的设计还可以实现动态功能,如接触表面的按摩或倾斜。我们将介绍SACST的持续发展和相关的科学原理。最后,该框架将能够将用户从较低级别的任务中解放出来,以便他们能够专注于较高级别的任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent soft contact surface technology with MEMS in robotic and human augmented systems
This paper presents the framework of the smart anthropomorphic contact surface technology (SACST) based upon robotics theories, to employ MEMS devices in a distributed system, and to integrate the sensory information for feedback control to import intelligence. The technology can be applied to empower intelligence to the design of seats, beds, wheelchair, shoes, and artificial skin for robot arms. SACST utilizes the soft contact model, which subsumes the Hertzian contact model (Hertz, 1882), normal force and pressure distribution at the contact interface, friction limit surface, and stiffness of contact to dynamically reshape the surface through embedded MEMS transducer systems in real time. Such designs can also implement dynamic functions such as massage or tilting of contact surfaces. We will present the ongoing development in SACST and the associated scientific principles. In the end, the framework will be able to free up users from lower level tasks in order that they can concentrate on higher level tasks.
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