A novel human-robot interface based on soft skin sensor designed for the upper-limb exoskeleton

Zhirui Zhao, Xing Li, Mingfang Liu, Xingchen Li, Haoze Gao, Lina Hao
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引用次数: 4

Abstract

The upper-limb exoskeleton is capable of enhancing human arm strength beyond normal levels, whereas deriving the operator’s desired action straightforward turns out to be one of the significant difficulties facing human-robot interaction research. In the study, the human-robot interface was presented to regulate the exoskeleton tracking human elbow motion trajectory that employed the contact force signals between the exoskeleton and its operator as the primary means of information transportation. The signals were recorded by adopting the novel soft skin sensors attached to the bracket on the exoskeleton linkage, which could reflect the human arm motion intention through the virtual admittance model and adaptive control. Subsequently, a 1-DOF upper-limb exoskeleton was designed to illustrate the performance of the proposed sensor and the interaction control method in the human-robot cooperation experiment.
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基于软皮肤传感器的上肢外骨骼人机界面设计
上肢外骨骼能够使人的手臂力量超出正常水平,而直接获得操作者期望的动作是人机交互研究面临的重大困难之一。在本研究中,提出了人机界面来调节外骨骼跟踪人体肘部运动轨迹,将外骨骼与操作者之间的接触力信号作为主要的信息传递手段。采用附着在外骨骼连杆支架上的新型软皮肤传感器记录信号,通过虚拟导纳模型和自适应控制反映人体手臂的运动意图。随后,设计了1-DOF上肢外骨骼,在人机协作实验中验证了所提传感器的性能和交互控制方法。
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来源期刊
CiteScore
3.80
自引率
10.00%
发文量
625
审稿时长
4.3 months
期刊介绍: The Journal of Mechanical Engineering Science advances the understanding of both the fundamentals of engineering science and its application to the solution of challenges and problems in engineering.
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