基于最小惯性参数的下肢机器人自适应仿人控制系统设计

IF 0.8 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS International Journal of Robotics & Automation Pub Date : 2019-10-31 DOI:10.15406/iratj.2019.05.00192
Aihui Wang, Junfeng Zhang, Xia Wu, Xiaoyu Chen, Yan Wang
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引用次数: 1

摘要

医学研究表明,适当的重复性康复运动训练可以帮助患者在接受药物治疗的同时实现脑神经功能的重组,使患者逐渐恢复独立行走的能力,1-2不仅提高了患者的生活质量,而且大大减轻了家庭和社会的压力。传统的康复治疗师主要依靠临床经验对患者进行步态分析。方法虽然简单,但只能做粗略的定性分析。由于缺乏准确、定量、可控的数据支持,难以保证患者康复训练的科学性和有效性。
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Adaptive human-like control system design of a lower limb robot using minimum inertial parameters
Medical studies have shown that appropriate repetitive rehabilitation exercise training can help them realize the recombination of brain nerve function while patients receive drug therapy, so that patients can gradually recover the ability to walk independently,1–2 which not only improves the quality of life of patients but also greatly reduces family and social pressure. Traditional rehabilitation therapists mainly rely on clinical experience to conduct a gait analysis of patients. Although the method is simple, it can only do rough qualitative analysis. Due to lack the accurate, quantitative and controllable data support, it is difficult to ensure the scientificity and effectiveness of patients’ rehabilitation training.
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来源期刊
CiteScore
1.20
自引率
44.40%
发文量
71
审稿时长
8 months
期刊介绍: First published in 1986, the International Journal of Robotics and Automation was one of the inaugural publications in the field of robotics. This journal covers contemporary developments in theory, design, and applications focused on all areas of robotics and automation systems, including new methods of machine learning, pattern recognition, biologically inspired evolutionary algorithms, fuzzy and neural networks in robotics and automation systems, computer vision, autonomous robots, human-robot interaction, microrobotics, medical robotics, mobile robots, biomechantronic systems, autonomous design of robotic systems, sensors, communication, and signal processing.
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