Human augmentation by wearable supernumerary robotic limbs: review and perspectives

IF 5 Q1 ENGINEERING, BIOMEDICAL Progress in biomedical engineering (Bristol, England) Pub Date : 2021-09-17 DOI:10.1088/2516-1091/ac2294
D. Prattichizzo, Maria Pozzi, Tommaso Lisini Baldi, M. Malvezzi, I. Hussain, S. Rossi, G. Salvietti
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引用次数: 27

Abstract

Supernumerary robotic limbs (SRLs) are wearable robots designed to enhance the sensorimotor abilities of humans. SRLs can be used to compensate for lost functions in patients with motor deficits and, more in general, to augment the sensorimotor capabilities of humans to interact with the environment. The design and control of SRLs present several challenges. SRLs must have high levels of ergonomics and wearability and, depending on the application, they might also require enhanced robustness and strength. Supernumerary robotics differs from collaborative robotics, since SRLs are not collaborative external agents but rather act under the direct command of the operator who, thanks to the use of suitable interfaces, gains the control of some actions of the SRLs. From the control point of view, it is fundamental to find the right trade-off between the degrees of freedom that are under the direct control of the user and the level of robot autonomy. The adoption of feedback interfaces can help the human to better command and use the SRL. In this review, we discuss all these aspects, relating them to the current literature on SRLs. We also present the main applications and the potential of these relatively recent devices, as well as the main neuroscientific questions they rise on the implications of their use on the users’ body schema.
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可穿戴多功能机器人肢体的人体增重:回顾与展望
超级机械臂(SRL)是一种可穿戴机器人,旨在增强人类的感觉运动能力。SRL可用于补偿运动缺陷患者的功能损失,更广泛地说,可用于增强人类与环境相互作用的感觉运动能力。SRL的设计和控制带来了一些挑战。SRL必须具有高水平的人体工程学和耐磨性,根据应用情况,它们可能还需要增强的坚固性和强度。超级机器人与协作机器人不同,因为SRL不是协作的外部代理,而是在操作员的直接指挥下行动,由于使用了合适的接口,操作员可以控制SRL的一些动作。从控制的角度来看,在用户直接控制的自由度和机器人自主性水平之间找到正确的权衡是至关重要的。反馈接口的采用可以帮助人类更好地指挥和使用SRL。在这篇综述中,我们讨论了所有这些方面,并将它们与当前关于SRL的文献联系起来。我们还介绍了这些相对较新设备的主要应用和潜力,以及它们在使用对用户身体模式的影响方面提出的主要神经科学问题。
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