首页> 外文会议>Conference on sensors and smart structures technologies for civil, mechanical, and aerospace systems >The smart Peano fluidic muscle: a low profile flexible orthosis actuator that feels pain
【24h】

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

机译:Smart Peano流体肌肉:一个低调柔性矫形器执行器,感觉疼痛

获取原文

摘要

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:机器人偏好有可能提供有效的康复,同时克服治疗师的可用性和成本限制。这些截然物必须以人类治疗师肌肉的自然安全,可靠和控制的运动为特征。这些特征仅在自然王国中可以通过智能神经系统和肌肉嵌入式感测器官的相互作用实现的疼痛感测。 McKibben流体肌肉或气动肌动力执行器(PMAS)是一种流行的矫形差张执行器,因为它们具有固有的合规性,高力和肌肉状负载位移特性。然而,PMA的圆形横截面增加了它们的轮廓。 PMA也是众所周知的不可靠性且难以控制,缺乏其生物肌肉同行的智能疼痛感测系统。在这里,PEANO流体肌肉,介绍了一种新的低轮廓但高力软致动器。这种肌肉智能,具有生物悬浮的嵌入式压力和软电容应变传感器。考虑到这种压力和应变反馈,实验验证表明,基于肌肉几何和材料参数的集总参数模型可用于预测其具有10-15n的平均误差的Quasistatic运动的力。将其与力阈值疼痛感应算法组合起来,为灵活的矫形器驱动设置了使用嵌入式传感器来防止损坏执行器及其环境的先例。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号