基于抓握功能依赖和关节元素稀疏手协同效应的拟人化手驱动度降低

Bingchen Liu, Li Jiang, S. Fan
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摘要

本文提出了一组依赖于抓握函数和关节元素稀疏的手协同。首先,通过主成分分析(PCA)从五类基本动作中提取手的协同效应;然后,在这些协同上应用最大变量旋转,因此每个稀疏协同只代表有限数量的关节。然后,根据这些稀疏协同作用的贡献,将手指关节聚类为不同的关节模块。最后,综合不同类别手部运动中的关节模块,确定拟人手部的最小执行器数量和关节协同模块。结果表明,采用5组关节模块和7-9个作动器可以达到抓取功能和运动灵活性的最佳性能。此外,通过合理设计自适应和超伸展的功能关节模块,拟人手可以更好地满足力量抓取和精确抓取等不同任务的要求。与传统的手指驱动策略相比,关节耦合方案具有更好的拟人性能和更大的工作空间。上述研究结果将有利于拟人手机械结构设计和控制方法的发展。
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Reducing Anthropomorphic Hand Degrees of Actuation with Grasp-Function-Dependent and Joint-Element-Sparse Hand Synergies
In this paper, a set of grasp-function-dependent and joint-element-sparse hand synergies was proposed. First, hand synergies were extracted from five basic categories of movements by principal component analysis (PCA). Then, varimax rotation was applied on these synergies, so each sparse synergy only represented a limited number of joints. Next, according to the contribution to these sparse synergies, finger joints were clustered into different joint modules. Finally, integrating the joint modules in different categories of hand movements, the minimum number of actuators and joint synergic modules for anthropomorphic hands were determined. The results showed that using 5 groups of joint modules and 7–9 actuators we can achieve the best performance of grasp function and motion flexibility. Furthermore, through the reasonable design of adaptive and hyperextension functional joint modules, anthropomorphic hands can better meet the requirements of different tasks like power grasping and precision pinching. Comparing with traditional finger-based actuation strategy, the joint coupling scheme achieved better anthropomorphic performance and larger workspace. These above findings will benefit the development of mechanical structure design and control method of anthropomorphic hands.
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