A new publication in Opto-Electronic Advances explores the potential of multi-photon bionic skin for high-precision haptic visualization. Inspired by the complex tactile perception mechanism of human skin, researchers developed Optical Microfiber Array Skin (OMAS) that mimics the function of human fingertip tactile receptors. OMAS utilizes a four-way longitudinal and transverse micro-nanostructure to simulate multi-tactile receptors and their synergistic effect. Integrated with an intelligent signal processing module, OMAS uses machine learning algorithms to process tactile signals, enabling the reconstruction of object features like shape, hardness, and texture. Experiments demonstrate OMAS's ability to accurately recognize the softness, hardness, shape, material, and surface texture of objects, paving the way for applications in smart wearables, robotic tactile sensing, and virtual reality.
Compuscript LtdFeb 8 2025 A new publication from Opto-Electronic Advances; DOI 10.29026/oea.2025.240152, discusses how multi-photon bionic skin realizes high-precision haptic visualization for reconstructive perception.
However, electrical tactile sensors also have problems such as potential leakage, easy to be corroded, not resistant to electromagnetic interference, low sensitivity, slow response speed. In contrast, the use of optical means as an information carrier to realize tactile sensing becomes an optional and ideal technological path, which has been demonstrated in multi-physical parameter fiber optic sensors.
Haptic Visualization Tactile Sensing Bionic Skin Multi-Photon Technology Machine Learning
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