Tactile Sensor Structure Optimized for Sliding Motion With High Resolution Recording of Surface Topography

Benefiting from the widespread potential applications in the era of Internet of Thing (IoT) and metaverse, triboelectric and piezoelectric nanogenerators have attracted considerably increasing attention. Their outstanding characteristics, such as self-powered ability, high output performance, integration compatibility, cost effectiveness, simple configurations and versatile operation modes, could effectively expand the lifetime of vastly distributed wearable, implantable and environmental devices, eventually achieving self-sustainable, maintenance-free and reliable systems. However, current triboelectric/piezoelectric based active (i.e., self-powered) sensors still encounter serious bottlenecks in continuous monitoring and multimodal applications due to their intrinsic limitations of monomodal kinetic response and discontinuous transient output. This work systematically summarizes and evaluates the recent research endeavours to addressing the above challenges, with detailed discussions on the challenge origins, designing strategies, device performance and corresponding diverse applications. Finally, conclusions and outlook regarding the research gap in self-powered continuous multimodal monitoring systems are provided, proposing the necessity of future research development in this field.

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Tactile Sensor Structure Optimized for Sliding Motion With High Resolution Recording of Surface Topography

Cited by 2 publications

References 14 publications

Enhanced morphology perception of vision-based robotic tactile sensors by multi-metal nanofilms

Enhanced morphology perception of vision-based robotic tactile sensors by multi-metal nanofilms

Advances of triboelectric and piezoelectric nanogenerators toward continuous monitoring and multimodal applications in the new era

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