Evidence map›Paper›PMID 42059471›Full record

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

A Worm-Inspired Origami Robot with Multimodal Locomotion for Adaptive Mobility in Complex Pipeline Environments.

Qiwei Zhang, Kangning Tan, Zihan He, Hongsen Pang, Yanjie Wang, Hongbin Fang, Jian Xu

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

7 authors.

Qiwei ZhangYiwu Research Institute, Fudan University, Yiwu, Zhejiang, China.
Kangning TanCollege of Intelligent Robotics and Advanced Manufacturing, State Key Laboratory of Brain Function and Disorders, MOE Engineering Research Center of AI & Robotics, Fudan University, Shanghai, China.
Zihan HeCollege of Intelligent Robotics and Advanced Manufacturing, State Key Laboratory of Brain Function and Disorders, MOE Engineering Research Center of AI & Robotics, Fudan University, Shanghai, China.
Hongsen PangCollege of Intelligent Robotics and Advanced Manufacturing, State Key Laboratory of Brain Function and Disorders, MOE Engineering Research Center of AI & Robotics, Fudan University, Shanghai, China.
Yanjie WangCollege of Mechanical and Electrical Engineering, Jiangsu Provincial Key Laboratory of Special Robot Technology, Hohai University, Changzhou, China.ORCID https://orcid.org/0000-0002-0475-3769
Hongbin FangYiwu Research Institute, Fudan University, Yiwu, Zhejiang, China.ORCID https://orcid.org/0000-0001-6691-0531
Jian XuCollege of Intelligent Robotics and Advanced Manufacturing, State Key Laboratory of Brain Function and Disorders, MOE Engineering Research Center of AI & Robotics, Fudan University, Shanghai, China.

Funding

National Natural Science Foundation of China 12272096National Natural Science Foundation of China 12402043National Natural Science Foundation of China 12572047National Natural Science Foundation of China 52475296Shanghai Pilot Program for Basic Research-Fudan University 21TQ1400100-22TQ009Zhejiang Provincial Natural Science Foundation of China LMS26A020007
6 · The paper itself

Abstract

An origami worm-inspired robot is developed to achieve multimodal locomotion and multifunctional operation within confined and complex pipeline environments. The robot integrates eight Yoshimura-origami crawling modules driven by pneumatic muscles, two rolling modules with deployable flaps, and a shape-memory alloy (SMA)-actuated waterbomb gripper, forming a compact and modular mechatronic system. A unified gait-generation framework enables 25 distinct locomotion gaits, including earthworm-like peristaltic crawling (rectilinear, sidewinding, and circular), inchworm-like two-anchor crawling, and bidirectional wheel-rolling. Kinematic modeling predicts performance across modes and exhibits qualitative agreement with experiments, with deviations attributed to stick-slip and frictional effects. The robot demonstrates robust mobility in a complex industrial pipeline scenario involving inclined, curved, variable-diameter, and discontinuous pipes, as well as vertical detection and large-diameter traversal. Coordinated actuation between the pneumatic and SMA systems allows effective grasping and swallowing-like manipulation of objects with varied stiffness. The integrated design achieves high maneuverability, environmental adaptability, and functional versatility, providing a promising platform for inspection, detection, and maintenance tasks in constrained engineering environments.

Indexed as

multimodal locomotionorigami robotpipe robotsoft robotworm‐like robot

Identifiers

PMID42059471
PMCPMC13335558

What OpenQuestion holds

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Registered trials

None linked

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.