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基于协同作用的多自由度机器人手臂肌控的稳健性与可靠性

Robustness and Reliability of Synergy-Based Myocontrol of a Multiple Degree of Freedom Robotic Arm.

作者信息

Lunardini Francesca, Casellato Claudia, d'Avella Andrea, Sanger Terence D, Pedrocchi Alessandra

出版信息

IEEE Trans Neural Syst Rehabil Eng. 2016 Sep;24(9):940-950. doi: 10.1109/TNSRE.2015.2483375. Epub 2015 Sep 30.

Abstract

In this study, we test the feasibility of the synergy- based approach for application in the realistic and clinically oriented framework of multi-degree of freedom (DOF) robotic control. We developed and tested online ten able-bodied subjects in a semi-supervised method to achieve simultaneous, continuous control of two DOFs of a robotic arm, using muscle synergies extracted from upper limb muscles while performing flexion-extension movements of the elbow and shoulder joints in the horizontal plane. To validate the efficacy of the synergy-based approach in extracting reliable control signals, compared to the simple muscle-pair method typically used in commercial applications, we evaluated the repeatability of the algorithm over days, the effect of the arm dynamics on the control performance, and the robustness of the control scheme to the presence of co-contraction between pairs of antagonist muscles. Results showed that, without the need for a daily calibration, all subjects were able to intuitively and easily control the synergy-based myoelectric interface in different scenarios, using both dynamic and isometric muscle contractions. The proposed control scheme was shown to be robust to co-contraction between antagonist muscles, providing better performance compared to the traditional muscle-pair approach. The current study is a first step toward user-friendly application of synergy-based myocontrol of assistive robotic devices.

摘要

在本研究中,我们测试了基于协同作用的方法在多自由度(DOF)机器人控制的实际临床导向框架中应用的可行性。我们采用半监督方法对10名身体健全的受试者进行了在线开发和测试,以实现对机器人手臂两个自由度的同步、连续控制,该控制利用了在水平面上进行肘关节和肩关节屈伸运动时从上肢肌肉中提取的肌肉协同作用。为了验证基于协同作用的方法在提取可靠控制信号方面的有效性,与商业应用中通常使用的简单肌肉对方法相比,我们评估了算法在数天内的可重复性、手臂动力学对控制性能的影响以及控制方案对拮抗肌对之间共同收缩的鲁棒性。结果表明,无需每日校准,所有受试者都能够在不同场景下,通过动态和等长肌肉收缩,直观且轻松地控制基于协同作用的肌电接口。所提出的控制方案被证明对拮抗肌之间的共同收缩具有鲁棒性,与传统的肌肉对方法相比性能更佳。当前的研究是朝着基于协同作用的辅助机器人设备肌控的用户友好应用迈出的第一步。

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