首页> 外文期刊>Sensors Journal, IEEE >Screen-Printed Curvature Sensors for Soft Robots
【24h】

Screen-Printed Curvature Sensors for Soft Robots

机译:适用于软机器人的丝网印刷曲率传感器

获取原文
获取原文并翻译 | 示例
       

摘要

Castable elastomers have been used to fabricate soft robotic devices and it has been shown that the technique scales well from prototyping to mass manufacturing. However, similarly scalable techniques for integrating strain or curvature sensors into such devices are still lacking. In this paper, we show that screen-printed silver conductors serve well as curvature sensors for soft robotic devices. The sensors are produced onto elastomer substrates in a single printing step and integrated into soft pneumatic actuators. We characterized the resistance-curvature relationship of the sensors, which allows the curvature of the actuators to be estimated from the sensor measurements. Hysteresis was observed, which does limit the absolute accuracy of the sensors. However, temperature characterizations showed that the sensor measurements are not significantly affected by temperature fluctuations during normal operation. Dynamic experiments showed that the bandwidth of the sensors is larger than the bandwidth of the actuators. We experimentally validated that these sensors can be used to detect whether the motion of an actuator has been blocked, clearing the way toward simple-to-fabricate soft robots that react to their surroundings. Finally, we demonstrate a three-fingered soft robotic gripper with integrated sensors. We conclude that screen-printing is a promising way to integrate curvature sensors into soft robots.
机译:可浇铸的弹性体已被用于制造软机器人设备,并且已经表明,该技术可很好地从原型制作到大规模生产。但是,仍然缺少用于将应变或曲率传感器集成到此类设备中的类似可伸缩技术。在本文中,我们表明丝网印刷的银导体可以很好地用作软机器人设备的曲率传感器。传感器可在单个印刷步骤中生产到弹性体基材上,并集成到软气动执行器中。我们表征了传感器的电阻-曲率关系,这使得可以根据传感器的测量结果来估算执行器的曲率。观察到磁滞现象,这确实限制了传感器的绝对精度。但是,温度特性表明,传感器的测量值在正常运行期间不受温度波动的影响很大。动态实验表明,传感器的带宽大于执行器的带宽。我们通过实验验证了这些传感器可用于检测执行器的运动是否被阻止,从而为通向对周围环境做出反应的易于制造的软机器人开辟了道路。最后,我们演示了带有集成传感器的三指软机器人抓爪。我们得出结论,丝网印刷是将曲率传感器集成到软机器人中的一种有前途的方法。

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