Evidence map›Paper›PMID 41091879›Full record

ArticleScience advances2025

Hysteresis-assisted shape morphing for soft continuum robots.

Zheyuan Bi, Tianchen Ji, Sanja Dogramadzi, Soo Jay Louis Phee, Jiajun Liu, Wenjie Lai, Diyang Wu, Bing Zhang, Lin Cao

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Zheyuan BiSchool of Electrical and Electronic Engineering, The University of Sheffield, Sheffield, UK.ORCID 0009-0006-1870-4382
Tianchen JiSchool of Electrical and Electronic Engineering, The University of Sheffield, Sheffield, UK.ORCID 0009-0004-7298-2979
Sanja DogramadziSchool of Electrical and Electronic Engineering, The University of Sheffield, Sheffield, UK.ORCID 0000-0002-0009-7522
Soo Jay Louis PheeSchool of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0002-9709-5848
Jiajun LiuSchool of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0002-9206-9835
Wenjie LaiSchool of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0002-6020-107X
Diyang WuSchool of Electrical and Electronic Engineering, The University of Sheffield, Sheffield, UK.ORCID 0009-0004-0899-2873
Bing ZhangSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China.ORCID 0000-0001-5650-2518
Lin CaoSchool of Electrical and Electronic Engineering, The University of Sheffield, Sheffield, UK.ORCID 0000-0003-4769-775X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional robots require more actuators for greater dexterity, increasing design and control complexity. We introduce a hysteresis-assisted shape-morphing (HasMorph) paradigm for soft continuum robots and integrate with tip-everting soft-growing robots. Unlike conventional approaches that avoid hysteresis, HasMorph intentionally exploits friction-induced shape hysteresis, the difference in robot shape during loading and unloading, to enable numerous reversible shape changes using only two sequentially controlled actuators via an inverted zigzag tendon-sheath mechanism. Integrated with tip growth, the robot achieves complex, reversible morphologies and frictionless follow-the-leader navigation. Mechanics and kinematics models reveal how friction and input sequences govern shape evolution and expand the robot's configuration space. Experiments validate dexterous morphing and robust navigation in unstructured environments. HasMorph enables direct, fine-grained actuation of hyperredundant soft bodies with minimal actuation, offering a scalable approach to soft robot design. This paradigm opens avenues for minimally invasive surgical tools and adaptive inspection systems in complex, confined spaces.

Identifiers

PMID41091879
PMCPMC13155642

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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.