Triboelectric Tactile Sensors for Embodied Intelligence: Design, Performances, and Applications

Embodied intelligence is driving artificial intelligence from digital reasoning toward real physical interaction, while tactile perception capabilities lag behind algorithmic advances and have become a critical bottleneck restricting the practical implementation of robotic closed-loop interaction. We propose that triboelectric event-driven tactile sensing can serve as a tactile information acquisition strategy for embodied intelligence. With its distinctive characteristics of mechanically triggered output and self-powered operation, it provides a new route to overcoming the limitations of signal acquisition, transmission, and power supply in complex environments and under high-density deployment. Based on this perspective, this review centers on triboelectric event-driven tactile sensing and systematically discusses the implementation pathways of triboelectric tactile sensors for embodied intelligence from four aspects: the conversion mechanisms from tactile events to electrical signals, material and structural design, key deployment performance, and embodied interactive applications. Particular emphasis is placed on revealing the intrinsic relationships among design strategies, deployment capabilities, and scenario adaptability. Finally, this review further discusses the key challenges and future directions that must still be addressed for triboelectric event-driven tactile sensing to advance from device-level performance optimization toward an event-driven system-level perception paradigm.

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Publication Details

Journal
Advanced Materials
Published
2026-08-17
DOI
https://doi.org/10.1002/adma.74599
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00
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article

Triboelectric Tactile Sensors for Embodied Intelligence: Design, Performances, and Applications

Tao Liu, Mingchao Chi, Qiguan Luo, Shuangxi Nie et al.
Advanced Materials
Advanced Sensor and Energy Harvesting Materials
article

Triboelectric Tactile Sensors for Embodied Intelligence: Design, Performances, and Applications

Tao Liu, Mingchao Chi, Qiguan Luo, Shuangxi Nie, Yayu Bai, Yanhua Liu, Zheying Liu, Kang Yu, Feng Gao, Jiayu Wang, Haoxiang Cui, Jinbo Yi
article en

Abstract

Embodied intelligence is driving artificial intelligence from digital reasoning toward real physical interaction, while tactile perception capabilities lag behind algorithmic advances and have become a critical bottleneck restricting the practical implementation of robotic closed-loop interaction. We propose that triboelectric event-driven tactile sensing can serve as a tactile information acquisition strategy for embodied intelligence. With its distinctive characteristics of mechanically triggered output and self-powered operation, it provides a new route to overcoming the limitations of signal acquisition, transmission, and power supply in complex environments and under high-density deployment. Based on this perspective, this review centers on triboelectric event-driven tactile sensing and systematically discusses the implementation pathways of triboelectric tactile sensors for embodied intelligence from four aspects: the conversion mechanisms from tactile events to electrical signals, material and structural design, key deployment performance, and embodied interactive applications. Particular emphasis is placed on revealing the intrinsic relationships among design strategies, deployment capabilities, and scenario adaptability. Finally, this review further discusses the key challenges and future directions that must still be addressed for triboelectric event-driven tactile sensing to advance from device-level performance optimization toward an event-driven system-level perception paradigm.

Advanced Materials
Guangxi University (CN)
Openalex Percentile: Top 18%
Advanced Sensor and Energy Harvesting Materials
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