Intrinsic Force–Temperature Self-Decoupling Enables Human-like Tactile Sensing in a Soft Ionic Skin

Soft dual-modal tactile sensors capable of simultaneously sensing force and temperature are essential for enhancing human-like perception and interaction in robots, particularly in the functional sense of concurrent mechanical and thermal perception. However, achieving self-decoupled and high-fidelity dual-modal sensing remains a significant challenge due to intrinsic signal crosstalk, structural complexity, and limited flexibility in existing designs. Here, we present a soft robotic tactile (RoboTac) skin that intrinsically decouples force and temperature using an ionic conductive film within a minimalist architecture, featuring an ultralight weight and an ultralow cost. Ionic conductivity enables independent readouts without algorithmic compensation by allowing thickness compression to modulate capacitance (force) and lateral ionic transport under thermal stimuli to modulate resistance (temperature). Moreover, the RoboTac skin demonstrates its practical utility for robots in object perception, specialized tasks, and human-robot interaction. This work establishes a general principle for intrinsically self-decoupling modalities in tactile sensors, advancing multimodal sensing, intelligent perception, and embodied robotics.

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Publication Details

Journal
ACS Nano
Published
2026-07-26
DOI
https://doi.org/10.1021/acsnano.6c09063
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
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article

Intrinsic Force–Temperature Self-Decoupling Enables Human-like Tactile Sensing in a Soft Ionic Skin

Xinge Yu, Wen J. Li, Vellaisamy A. L. Roy, Z Y Li et al.
ACS Nano
Advanced Sensor and Energy Harvesting Materials
article

Intrinsic Force–Temperature Self-Decoupling Enables Human-like Tactile Sensing in a Soft Ionic Skin

Xinge Yu, Wen J. Li, Vellaisamy A. L. Roy, Z Y Li, S Wang, Hui Sun, Cong Wu, Guanglie Zhang, Jiankun Li, Meng Chen, Ziyi Li, Senlin Hou, Yu Feng, Yehui Liu
article en

Abstract

Soft dual-modal tactile sensors capable of simultaneously sensing force and temperature are essential for enhancing human-like perception and interaction in robots, particularly in the functional sense of concurrent mechanical and thermal perception. However, achieving self-decoupled and high-fidelity dual-modal sensing remains a significant challenge due to intrinsic signal crosstalk, structural complexity, and limited flexibility in existing designs. Here, we present a soft robotic tactile (RoboTac) skin that intrinsically decouples force and temperature using an ionic conductive film within a minimalist architecture, featuring an ultralight weight and an ultralow cost. Ionic conductivity enables independent readouts without algorithmic compensation by allowing thickness compression to modulate capacitance (force) and lateral ionic transport under thermal stimuli to modulate resistance (temperature). Moreover, the RoboTac skin demonstrates its practical utility for robots in object perception, specialized tasks, and human-robot interaction. This work establishes a general principle for intrinsically self-decoupling modalities in tactile sensors, advancing multimodal sensing, intelligent perception, and embodied robotics.

ACS Nano
City University of Hong Kong (HK), Shenzhen University (CN), China University of Geosciences (Beijing) (CN), Robotic Technology (United States) (US)
Openalex Percentile: Top 16%
Advanced Sensor and Energy Harvesting Materials
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