Layer jamming-based soft robotic hand with variable stiffness for compliant and effective grasping

IF 1.2 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Cognitive Computation and Systems Pub Date : 2020-05-21 DOI:10.1049/ccs.2020.0003
Xiangxiang Wang, Linyuan Wu, Bin Fang, Xiangrong Xu, Haiming Huang, Fuchun Sun
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引用次数: 10

Abstract

A novel variable stiffness soft robotic hand (SRH) consists of three pieces of layer jamming structure (LJS) is proposed. The mechanism is driven by the motor-based tendon along the surface of the pieces that connect to individual gas channel. Each LJS is optimised by adhering a thin layer of hot melt adhesive and overlapping the spring steel sheet as inner layer material. It can be switched between rigid and compliant independently. The structures of variable stiffness and tendon-driven lead to various deformation poses. Then the control system of SRH and the performance analysis of the LJS are introduced. Finally, the experiments are implemented to prove the superiority of the proposed LJS and the demonstrations show that the designed robotic hand has multiple configurations to successfully grasp various objects.

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可变刚度层阻塞柔性机械手柔性有效抓取
提出了一种由三层干扰结构(LJS)组成的变刚度柔性机械手。该装置由基于马达的肌腱沿着连接到单个气体通道的部件表面驱动。每个LJS都通过粘接薄层热熔胶和重叠弹簧钢片作为内层材料来优化。它可以在刚性和柔性之间独立切换。变刚度和肌腱驱动的结构导致了不同的变形姿态。然后介绍了SRH的控制系统和LJS的性能分析。最后,通过实验验证了该方法的优越性,实验结果表明,所设计的机械手具有多种构型,能够成功抓取各种物体。
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来源期刊
Cognitive Computation and Systems
Cognitive Computation and Systems Computer Science-Computer Science Applications
CiteScore
2.50
自引率
0.00%
发文量
39
审稿时长
10 weeks
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