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Equilibrium-point-based synergies that encode coordinates in task space: A practical method for translating functional synergies from human to musculoskeletal robot arm

机译:在任务空间中编码坐标的基于平衡点的协同作用:一种将人与人之间的功能协同转化为肌肉骨骼机器人手臂的实用方法

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A practical method for exploiting the neuromuscular coordination in a human arm posture to control a musculoskeletal robotic arm is proposed. The method enables the low-dimensional control of multiple muscles in the arm robot without considering the differences in the size and force balance between the human and artificial muscles. The central idea is based on the assumption that the equilibrium point (EP) of an arm is always located at its endpoint position while maintaining the posture on the horizontal plane. The mathematical formulation obtained using this physical constraint leads to the EP-based synergies that encode the polar coordinates in the task space. We tested this theory by extracting EP-based synergies from electromyography activities during human posture maintenance and implementing them for a musculoskeletal robotic arm. The results suggest EP-based synergies could be functional modules of muscle mechanical impedance which is an essential primitive for human motor control.
机译:提出了利用人臂姿势中神经肌肉协调来控制肌肉骨骼机器人臂的实用方法。该方法使手臂机器人中的多个肌肉的低维控制能够在不考虑人和人工肌肉之间的尺寸和力平衡的差异。中心思想基于假设臂的平衡点(EP)总是位于其端点位置,同时保持水平面上的姿势。使用该物理约束获得的数学制剂导致基于EP的协同作用,该协同作用在任务空间中编码极性坐标。我们通过在人体姿势维护期间从肌电图活动中提取基于EP的协同作用并为肌肉骨骼机器人实施来测试该理论。结果表明基于EP的协同作用可能是肌肉机械阻抗的功能模块,这是人机控制的一个基本原始。

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