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The smart Peano fluidic muscle: a low profile flexible orthosis actuator that feels pain

机译:精巧的Peano射流肌肉:一种低调的柔性矫形器致动器,可感到疼痛

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Robotic orthoses have the potential to provide effective rehabilitation while overcoming the availability and cost constraints of therapists. These orthoses must be characterized by the naturally safe, reliable, and controlled motion of a human therapist's muscles. Such characteristics are only possible in the natural kingdom through the pain sensing realized by the interaction of an intelligent nervous system and muscles' embedded sensing organs. McKibben fluidic muscles or pneumatic muscle actuators (PMAs) are a popular orthosis actuator because of their inherent compliance, high force, and muscle-like load-displacement characteristics. However, the circular cross-section of PMA increases their profile. PMA are also notoriously unreliable and difficult to control, lacking the intelligent pain sensing systems of their biological muscle counterparts. Here the Peano fluidic muscle, a new low profile yet high-force soft actuator is introduced. This muscle is smart, featuring bioinspired embedded pressure and soft capacitive strain sensors. Given this pressure and strain feedback, experimental validation shows that a lumped parameter model based on the muscle geometry and material parameters can be used to predict its force for quasistatic motion with an average error of 10 - 15N. Combining this with a force threshold pain sensing algorithm sets a precedent for flexible orthosis actuation that uses embedded sensors to prevent damage to the actuator and its environment.
机译:机器人矫形器有潜力提供有效的康复,同时克服治疗师的可用性和成本限制。这些矫形器必须以人类治疗师的肌肉自然安全,可靠且受控的运动为特征。只有通过自然神经系统通过智能神经系统和肌肉嵌入的感应器官的相互作用实现的疼痛感应,才能实现这种特性。 McKibben流体肌肉或气动肌肉促动器(PMA)是一种流行的矫形器促动器,因为其固有的柔顺性,高力和类似肌肉的负荷-位移特性。但是,PMA的圆形横截面会增加其轮廓。众所周知,PMA缺乏生物肌肉对应者的智能疼痛感测系统,因此也不可靠且难以控制。在这里,介绍了Peano流体肌肉,这是一种新型的薄型高强度软致动器。这种肌肉很聪明,具有受生物启发的嵌入式压力和软电容应变传感器。给定该压力和应变反馈,实验验证表明,基于肌肉几何形状和材料参数的集总参数模型可用于预测其准静态运动的力,平均误差为10-15N。将其与力阈值疼痛感测算法相结合,为柔性矫形器致动开创了先例,该矫形器使用嵌入式传感器来防止对致动器及其环境造成损害。

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