4.8 Article

MRS-Tex: A Magnetically Responsive Soft Tactile Device for Texture Display

期刊

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
卷 69, 期 11, 页码 11531-11540

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIE.2021.3120490

关键词

Soft magnetic materials; Actuators; Magnetic fields; Surface texture; Surface topography; Magnetic films; Three-dimensional displays; Magnetic soft materials; soft actuator array; surface texture; tactile device; texture display

资金

  1. National Key Research and Development Program [2017YFB1002803]
  2. National Natural Science Foundation of China [61973016]
  3. China Postdoctoral Science Foundation [2019M663018]

向作者/读者索取更多资源

In this paper, a magnetically responsive soft tactile device (MRS-Tex) is proposed for rendering high-resolution surface textures. By using a 1 mm diameter soft actuator and a soft membrane bracket, the device is capable of generating sufficient depth pits and achieving high discrimination accuracy according to quantitative experiments and user studies.
Tactile devices provide an intuitive way for texture display, which allows users to perceive the detailed surface properties of virtual or remote objects. For existing tactile devices that create actual topographical transformations, it remains challenging to render surface textures with high spatial resolution due to the limitation of the size of actuators. To address this challenge, a magnetically responsive soft actuator with a diameter of 1 mm is proposed. Integrating the high-density soft actuator array and a soft membrane bracket, we develop a magnetically responsive soft tactile device (named MRS-Tex) for texture display. When a magnetic field is applied, the magnetic units will sink to form pits, and the soft membrane bracket resists the finger pressure so that users can perceive the rendered surface texture. Thanks to the proposed sunken solution, MRS-Tex is capable of rendering surface textures with millimeter-level resolution (1.5 mm) while providing a sufficient upward holding force. Moreover, we conduct quantitative experiments and two user studies to evaluate the performance of MRS-Tex. Experimental results show that MRS-Tex can generate pits with a depth of more than 0.20 mm, which is sufficient for rendering perceivable surface textures. The average discrimination accuracy of user study can reach up to 82% for both six basic texture patterns and four complex texture patterns.

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