Ultraflexible photoelectrical impedance tomography-based imager for 3-axis robotic tactile sensing

Vision-based robotic triaxial tactile sensing provides superior spatial resolution and rich multimodal data. However, employing rigid CMOS imagers suffers from limitations in mechanical flexibility and large-area scalability. Here we present a large-area ultraflexible photoelectrical impedance tomography (PIT)-based imager that achieves high-fidelity triaxial tactile sensing. The 5-μm-thick PIT imager incorporates a quantum dots/metal-oxide heterojunction layer with 16 peripheral electrodes, significantly reducing interconnects complexity (pixel-to-interconnect ratio >80). The device exhibits a photo-to-dark-current ratio exceeding 10⁴ under ultraviolet illumination, resolves spatiotemporal features as fine as 1.5 mm, and can simultaneously image up to five occluded regions. By integrating a thin light-scattering porous rubber and flexible LEDs, triaxial force decoding is achieved through Gaussian photocurrent analysis. The system achieves over a dynamic range of 80 kPa with a normal force sensitivity of 0.04 kPa⁻¹, a shear displacement resolution of 0.17 μm kPa⁻¹, and a topological recognition accuracy of 96.5%. We anticipate that this technology will enable advanced applications in industrial and humanoid robotics, medical and rehabilitation robotics, and wearable health monitoring and human-machine interaction systems.

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Publication Details

Journal
Nature Communications
Published
2026-03-14
DOI
https://doi.org/10.1038/s41467-026-70599-6
Primary Topic
Electrical and Bioimpedance Tomography
Type
article
Field-Weighted Citation Impact
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article

Ultraflexible photoelectrical impedance tomography-based imager for 3-axis robotic tactile sensing

Kun Qiao, B. L. Wang, Dechun Zhao, Limei Liu et al.
Nature Communications
Electrical and Bioimpedance Tomography
article

Ultraflexible photoelectrical impedance tomography-based imager for 3-axis robotic tactile sensing

Kun Qiao, B. L. Wang, Dechun Zhao, Limei Liu, Lijia Pan, Xuyang Feng, Haoyang Wang, Qing Ma, Linyu Dong, Cunjiang Yu, Shang Lu
article en

Abstract

Vision-based robotic triaxial tactile sensing provides superior spatial resolution and rich multimodal data. However, employing rigid CMOS imagers suffers from limitations in mechanical flexibility and large-area scalability. Here we present a large-area ultraflexible photoelectrical impedance tomography (PIT)-based imager that achieves high-fidelity triaxial tactile sensing. The 5-μm-thick PIT imager incorporates a quantum dots/metal-oxide heterojunction layer with 16 peripheral electrodes, significantly reducing interconnects complexity (pixel-to-interconnect ratio >80). The device exhibits a photo-to-dark-current ratio exceeding 10⁴ under ultraviolet illumination, resolves spatiotemporal features as fine as 1.5 mm, and can simultaneously image up to five occluded regions. By integrating a thin light-scattering porous rubber and flexible LEDs, triaxial force decoding is achieved through Gaussian photocurrent analysis. The system achieves over a dynamic range of 80 kPa with a normal force sensitivity of 0.04 kPa⁻¹, a shear displacement resolution of 0.17 μm kPa⁻¹, and a topological recognition accuracy of 96.5%. We anticipate that this technology will enable advanced applications in industrial and humanoid robotics, medical and rehabilitation robotics, and wearable health monitoring and human-machine interaction systems.

Nature Communications
University of Illinois Urbana-Champaign (US), Southeast University (BD), Southeast University (CN), Yangzhou University (CN), Nanjing University (CN)
National Natural Science Foundation of China, Government of Jiangsu Province, Basic Research Program of Jiangsu Province, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 22%
Electrical and Bioimpedance Tomography
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