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arXiv 2012.03600cs.RO

利用内在运动学零空间控制超数机器人肢体

Exploiting Intrinsic Kinematic Null Space for Supernumerary Robotic Limbs Control

Department of Information Engineering and Mathematics, University of Siena(信息工程与数学系,锡耶纳大学);department of Humanoids and Human Centered Mechatronics (HHCM), Istituto Italiano di Tecnologia(人形与以人为中心的机电一体化系(HHCM),意大利理工学院);Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina(生物医学与牙科学及形态功能成像系,梅斯纳大学);Center for Information and Neural Networks, Advanced ICT Research Institute, National Institute of Information and Communications Technology(信息与神经网络中心,先进ICT研究机构,日本信息与通信技术研究院);Laboratory of Neuromotor Physiology, IRCCS Fondazione Santa Lucia(神经运动生理实验室,IRCCS圣拉齐娅基金会)

Tommaso Lisini Baldi, Nicole D'Aurizio, Sergio Gurgone, Daniele Borzelli, Andrea D'Avella, Domenico Prattichizzo

AI总结:

本文提出利用人体运动链的内在运动学零空间控制SRL的额外自由度,实验证明该策略可借助超数机器人手指完成复杂任务并通过练习提升控制能力。

摘要:

近年来,超数机器人肢体(Supernumerary robotic limbs, SRLs)因其在医疗保健和辅助技术中的适用性而受到越来越多的关注。这些设备既可以支持也可以增强人类的感觉运动能力,使用户能够完成比其自然肢体所能完成的更复杂的任务。然而,为了实现自然肢体与人工肢体之间的成功协调,交互的直观性和对自主性的感知是关键的使能特征,尤其对于患有运动障碍和功能损伤的人群而言。因此,开发合适的人机接口对于推动SRLs的采用至关重要。在本工作中,我们描述了如何利用我们所定义的“内在运动学零空间”(Intrinsic Kinematic Null Space)来控制一个额外自由度,即正在执行任务中所涉及的人体运动链的冗余性。所得结果表明,所提出的控制策略能够有效地使用超数机器人手指执行复杂任务,并且练习可以提高用户的控制能力。

英文摘要:

Supernumerary robotic limbs (SRLs) gained increasing interest in the last years for their applicability as healthcare and assistive technologies. These devices can either support or augment human sensorimotor capabilities, allowing users to complete tasks that are more complex than those feasible for their natural limbs. However, for a successful coordination between natural and artificial limbs, intuitiveness of interaction and perception of autonomy are key enabling features, especially for people suffering from motor disorders and impairments. The development of suitable human-robot interfaces is thus fundamental to foster the adoption of SRLs. With this work, we describe how to control an extra degree of freedom by taking advantage of what we defined the Intrinsic Kinematic Null Space, i.e. the redundancy of the human kinematic chain involved in the ongoing task. Obtained results demonstrated that the proposed control strategy is effective for performing complex tasks with a supernumerary robotic finger, and that practice improves users' control ability.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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