在无线多模态触觉手套中使用弹性导电嵌段共聚物生成的虚拟纹理。
Virtual Texture Generated using Elastomeric Conductive Block Copolymer in Wireless Multimodal Haptic Glove.
作者信息
Keef Colin V, Kayser Laure V, Tronboll Stazia, Carpenter Cody W, Root Nicholas B, Finn Mickey, O'Connor Timothy F, Abuhamdieh Sami N, Davies Daniel M, Runser Rory, Meng Y Shirley, Ramachandran Vilayanur S, Lipomi Darren J
机构信息
Department of Electrical and Computer Engineering, University of California, San Diego, Mail Code 0407, La Jolla, CA 92093-0407.
Department of NanoEngineering and Program in Chemical Engineering, University of California, San Diego, Mail Code 0448, La Jolla, CA 92093-0448.
出版信息
Adv Intell Syst. 2020 Apr;2(4). doi: 10.1002/aisy.202000018. Epub 2020 Feb 25.
Haptic devices are in general more adept at mimicking the bulk properties of materials than they are at mimicking the surface properties. This paper describes a haptic glove capable of producing sensations reminiscent of three types of near-surface properties: hardness, temperature, and roughness. To accomplish this mixed mode of stimulation, three types of haptic actuators were combined: vibrotactile motors, thermoelectric devices, and electrotactile electrodes made from a stretchable conductive polymer synthesized in our laboratory. This polymer consisted of a stretchable polyanion which served as a scaffold for the polymerization of poly(3,4-ethylenedioxythiophene) (PEDOT). The scaffold was synthesized using controlled radical polymerization to afford material of low dispersity, relatively high conductivity (0.1 S cm), and low impedance relative to metals. The glove was equipped with flex sensors to make it possible to control a robotic hand and a hand in virtual reality (VR). In psychophysical experiments, human participants were able to discern combinations of electrotactile, vibrotactile, and thermal stimulation in VR. Participants trained to associate these sensations with roughness, hardness, and temperature had an overall accuracy of 98%, while untrained participants had an accuracy of 85%. Sensations could similarly be conveyed using a robotic hand equipped with sensors for pressure and temperature.
一般来说,触觉设备在模拟材料的整体属性方面比模拟表面属性更为擅长。本文描述了一种能够产生让人联想到三种近表面属性(硬度、温度和粗糙度)感觉的触觉手套。为实现这种混合刺激模式,将三种类型的触觉致动器组合在一起:振动触觉电机、热电设备以及由我们实验室合成的可拉伸导电聚合物制成的电触觉电极。这种聚合物由一种可拉伸的聚阴离子组成,它作为聚(3,4 - 亚乙基二氧噻吩)(PEDOT)聚合的支架。该支架通过可控自由基聚合合成,以提供低分散性、相对高电导率(0.1 S/cm)且相对于金属具有低阻抗的材料。该手套配备了柔性传感器,以便能够在虚拟现实(VR)中控制机器人手和人手。在心理物理学实验中,人类参与者能够在VR中辨别电触觉、振动触觉和热刺激的组合。经过训练将这些感觉与粗糙度、硬度和温度相关联的参与者总体准确率为98%,而未经训练的参与者准确率为85%。使用配备压力和温度传感器的机器人手也能够类似地传达这些感觉。