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Biomimetic bimodal haptic perception using triboelectric effect

2024; American Association for the Advancement of Science; Volume: 10; Issue: 27 Linguagem: Inglês

10.1126/sciadv.ado6793

2375-2548

Shaoshuai He, Jinhong Dai, Dong Wan, Shengshu Sun, Xiya Yang, Xin Xia, Yunlong Zi,

Interactive and Immersive Displays

Multimodal haptic perception is essential for enhancing perceptual experiences in augmented reality applications. To date, several artificial tactile interfaces have been developed to perceive pressure and precontact signals, while simultaneously detecting object type and softness with quantified modulus still remains challenging. Here, inspired by the campaniform sensilla on insect antennae, we proposed a hemispherical bimodal intelligent tactile sensor (BITS) array using the triboelectric effect. The system is capable of softness identification, modulus quantification, and material type recognition. In principle, due to the varied deformability of materials, the BITS generates unique triboelectric output fingerprints when in contact with the tested object. Furthermore, owing to the different electron affinities, the BITS array can accurately recognize material type (99.4% accuracy), facilitating softness recognition (100% accuracy) and modulus quantification. It is promising that the BITS based on the triboelectric effect has the potential to be miniaturized to provide real-time accurate haptic information as an artificial antenna toward applications of human-machine integration.