Evidence map›Paper›PMID 42206970›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

A Folded, Structure-Integrated Bimodal Sensor Enabling Non-Contact and Tactile Perception for Intelligent Robots.

Weixiong Yang, Yuhan Guo, Mingguang Han, Bin Feng, Yuan Ma, Bingang Xu, Fu Liu, Dan Wang, Pingping Hao, Xilun Ding and 1 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Weixiong YangSchool of Mechanical Engineering & Automation, Beihang University, Beijing, China.
Yuhan GuoSchool of Mechanical Engineering & Automation, Beihang University, Beijing, China.
Mingguang HanSchool of Mechanical Engineering & Automation, Beihang University, Beijing, China.
Bin FengSchool of Mechanical Engineering & Automation, Beihang University, Beijing, China.
Yuan MaDepartment of Mechanical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Bingang XuNanotechnology Center, School of Fashion and Textiles, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China.
Fu LiuSchool of Aerospace Engineering, North University of China, Taiyuan, China.
Dan WangSchool of Mechanical Engineering & Automation, Beihang University, Beijing, China.
Pingping HaoSchool of Mechanical Engineering & Automation, Beihang University, Beijing, China.
Xilun DingSchool of Mechanical Engineering & Automation, Beihang University, Beijing, China.ORCID https://orcid.org/0000-0002-9752-3937
Sida LuoSchool of Mechanical Engineering & Automation, Beihang University, Beijing, China.

Funding

Beijing Natural Science Foundation 3202017China Postdoctoral Science Foundation under the Postdoctoral Innovative Talent General Program 2024M764079China Postdoctoral Science Foundation under the Postdoctoral Innovative Talent Support Program BX20240460National Natural Science Foundation of China 62371025National Natural Science Foundation of China 62504014National Natural Science Foundation of China T2121003
6 · The paper itself

Abstract

The rapid advancement of embodied intelligent robots demands accurate perception and integration of diverse environmental cues. However, current multimodal sensing systems are hindered by complex architectures and heterogeneous integration, which compromise rapid fabrication, seamless deployment, robustness, and multi-source signal perception. Here, we address this challenge through an elegant substrate-folding design strategy that enables bimodal sensing within a single monolithic laser-induced graphene (LIG) film, drastically simplifying device architecture and fabrication while paving the way for scalable, robot-ready multimodal perception modules. The folded bimodal sensor (F-BS), which features a one-step fabrication and assembly process, enables real-time detection of both non-contact proximity signals and contact tactile signals with mode differentiation by leveraging the triboelectric nanogenerator (TENG) effect and the piezoresistive property of graphene. After fluorination, it exhibits a non-contact sensing distance of 110 mm, a maximum pressure sensitivity of 11.2 kPa

Indexed as

bimodal sensorintegrated structureintelligent robotic systemlaser‐induced graphenetriboelectric nanogenerators

Identifiers

PMID42206970
PMCPMC13335930

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.