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Development of Flexible Robot Skin for Safe and Natural Human–Robot Collaboration

机译:开发安全和自然人机协作的柔性机器人皮肤

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摘要

For industrial manufacturing, industrial robots are required to work together with human counterparts on certain special occasions, where human workers share their skills with robots. Intuitive human–robot interaction brings increasing safety challenges, which can be properly addressed by using sensor-based active control technology. In this article, we designed and fabricated a three-dimensional flexible robot skin made by the piezoresistive nanocomposite based on the need for enhancement of the security performance of the collaborative robot. The robot skin endowed the YuMi robot with a tactile perception like human skin. The developed sensing unit in the robot skin showed the one-to-one correspondence between force input and resistance output (percentage change in impedance) in the range of 0–6.5 N. Furthermore, the calibration result indicated that the developed sensing unit is capable of offering a maximum force sensitivity (percentage change in impedance per Newton force) of 18.83% N−1 when loaded with an external force of 6.5 N. The fabricated sensing unit showed good reproducibility after loading with cyclic force (0–5.5 N) under a frequency of 0.65 Hz for 3500 cycles. In addition, to suppress the bypass crosstalk in robot skin, we designed a readout circuit for sampling tactile data. Moreover, experiments were conducted to estimate the contact/collision force between the object and the robot in a real-time manner. The experiment results showed that the implemented robot skin can provide an efficient approach for natural and secure human–robot interaction.
机译:对于工业制造,要求工业机器人在某些特殊场合下与人类同行合作,在这种特殊场合下,人类工人与机器人共享技能。直观的人机交互带来了越来越多的安全挑战,可以通过使用基于传感器的主动控制技术来适当解决。在本文中,我们基于增强协作机器人安全性能的需求,设计和制造了由压阻纳米复合材料制成的三维柔性机器人蒙皮。机器人的皮肤使YuMi机器人具有像人皮肤一样的触觉。机器人皮肤中开发的传感单元显示出力输入与电阻输出(阻抗的百分比变化)之间的一对一对应关系,范围为0-6.5N。此外,校准结果表明,开发的传感单元能够施加6.5 N的外力时,最大力敏感度(每牛顿力的阻抗变化百分比)为18.83%N -1 。制造的传感单元在施加循环力后显示出良好的重现性(0–5.5 N)在0.65 Hz的频率下持续3500个循环。此外,为了抑制机器人皮肤中的旁路串扰,我们设计了一个用于采样触觉数据的读出电路。此外,还进行了实验以实时估计物体与机器人之间的接触/碰撞力。实验结果表明,实现的机器人皮肤可以为自然和安全的人机交互提供有效的方法。

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