Thin‐Film Transistor Based Active Taxel for Multimode Tactile Perception and Fused Processing
ABSTRACT Skin is the largest‐area organ for humans and embodied intelligent robots, serving as a critical interface for environmental interaction. Thanks to the well‐organized taxel, dynamic‐taxel‐density and fully body wrapping, human skin works as an efficient tactile system for embodied intelligent robots to emulate. Thin‐film transistor (TFT) technology is a well‐known mature semiconductor process for mass production with the largest‐area substrate, inherently suitable for artificial skin developing. In this work, we propose an active multimode fused (AMF) artificial skin developed from a standard TFT process for intelligent robots. A novel 2T‐1C taxel integrating optical and electrostatic capacitive receptors is developed for cross‐modal feature extraction. A 10×10 AMF artificial skin sample within 1 cm 2 is fabricated and experimentally validated through Braille perception. The AMF skin has high tactile robustness, retaining 81.7% accuracy in complex fingerprint tasks even with 45% information loss. Moreover, a fully skin‐wrapped dexterous hand integrated with a dynamic‐taxel‐density tactile system is presented, enabling accurate texture‐ and shape‐dependent object recognition with 80% less data movement and 76.6% lower computational cost. The TFT‐based artificial skin paves an approach for the development of embodied intelligent robots with full‐body skin wrapping.
Authors
- Cai Yp
- Dedong Han (ORCID: https://orcid.org/0000-0002-2384-3006)
- Lutong Wang (ORCID: https://orcid.org/0000-0003-3702-5095)
- Haotong Zhu
- Xi Zhang (ORCID: https://orcid.org/0000-0002-4638-3997)
- Chuanlin Sun (ORCID: https://orcid.org/0009-0005-4667-7134)
- Tingchen Yi (ORCID: https://orcid.org/0009-0002-7377-9097)
- Z Y Zhou
- Aoran Xu
- Li Zhou
- Sihao Wu (ORCID: https://orcid.org/0009-0002-9823-0922)
- Lifeng Liu
- Jiaqi Li
- Junchen Dong
Institutions
- Peking University (CN)
- BOE Technology Group (China) (CN)
- Beijing Advanced Sciences and Innovation Center (CN)
- Beijing Information Science & Technology University (CN)
Publication Details
- Journal
- Advanced Science
- Published
- 2026-06-17
- DOI
- https://doi.org/10.1002/advs.76190
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Beijing Nova Program