Robot-assisted healthcare offers benefits for repetitive, intensive and task specific training compared to traditional manual manipulation performed by physiotherapists. However, a majority of existing rehabilitation devices use rigid actuators such as electric motors or hydraulic cylinders which cannot guarantee the safety of patients; novel soft robots combining soft and compliant actuators with stiff skeletons offer a better alternative. This book focuses on the development of these soft robotics for rehabilitation purposes.Topics covered include an introduction to soft robots and the state of the art of their use in healthcare; concept and modelling of a soft rehabilitation actuator - the Peano muscle; design of the reactive Peano muscle; soft wrist rehabilitation robot; development and control of a soft ankle rehabilitation robot (SARR); design, modelling and control strategies of a gait rehabilitation exoskeleton (GAREX); and conclusions and future work.This book presents novel applications of mechatronics to provide better clinical rehabilitation services and new insights into emerging technologies utilized in soft robots for healthcare, and is essential reading for researchers and students working in these and related fields.
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Soft Robots For Healthcare Applications: Design, Modelling, And Control
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Soft Robots For Healthcare Applications: Design, Modelling, And Control
Publisher: The Institution of Engineering and Technology
ISBN: 9781785613111
Dimensions:
6.141732283" W x
1.0" L x
9.212598425" H
Shane Xie has more than 20 years of research experience and teaching in mechatronics and robotics. He is the editor of two international journals, and an editorial board member and scientific advisory member for international journals and conferences. He has published over 300 papers in refereed international journals and conferences. He is a Fellow of the Institution of Professional Engineers New Zealand (IPENZ) and an IEEE Senior Member.
Mingming Zhang has multiple years of experience in developing novel robot-assisted rehabilitation techniques. His research interest also includes brain data mining and signal processing with different algorithms to extract meaningful neural features from large-scale brain data sets. His scientific results have been published in over 20 peer-reviewed papers in the field of mechatronics and neural engineering, and he has 7 Chinese patents.
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