Evidence map›Paper›PMID 42777035›Full record

ArticleScience advances2026

Octopus-inspired muscle activation unlocks high-DOF motion from a single actuator.

Wenci Xin, Zhiqiang Tang, Peiyi Wang, Lei He, Linxin Hou, Lin Zhao, Zhexin Xie, Cecilia Laschi

Abstract read
In one paragraph

Article in Science advances, 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

8 authors.

Wenci XinDepartment of Mechanical Engineering, National University of Singapore, 117575, Singapore.ORCID 0000-0002-2582-8037
Zhiqiang TangSchool of Mechanical Engineering, Southeast University, Nanjing, 211189, China.ORCID 0000-0001-6555-9938
Peiyi WangDepartment of Mechanical Engineering, National University of Singapore, 117575, Singapore.ORCID 0000-0002-6010-6427
Lei HeDepartment of Electrical and Computer Engineering, National University of Singapore, 117575, Singapore.ORCID 0000-0003-3028-6305
Linxin HouAdvanced Robotics Centre, National University of Singapore, 117575, Singapore.ORCID 0000-0002-5694-0160
Lin ZhaoDepartment of Electrical and Computer Engineering, National University of Singapore, 117575, Singapore.ORCID 0000-0002-1078-887X
Zhexin XieShenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems, Department of Mechanical and Energy Engineering, Southern University of Science and Technology, 518055, Shenzhen, China.ORCID 0000-0001-6994-6863
Cecilia LaschiDepartment of Mechanical Engineering, National University of Singapore, 117575, Singapore.ORCID 0000-0001-5248-1043

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While soft robots leverage compliant materials to offer infinite degrees of freedom (DOFs), achieving dexterous motions usually requires numerous actuators, making the robot bulky, complex to assemble, and discontinuously segmented. Here, inspired by the octopus neuromuscular junctions (NMJs), we present similar wire bonding junctions (WBJs) that enable partitioned activation on a single shape memory alloy (SMA) actuator. By utilizing WBJs, soft robots achieve continuous deformation with approximately twice the workspace and manipulability of traditional stacked designs. We demonstrated that modulating voltage across these junctions allows the SMA to actuate variable lengths, maintaining high dexterity while reducing energy consumption up to 40%. With WBJs, one single SMA actuator could master both soft arm manipulator and its end effector. This compact, lightweight architecture enables the soft robot arm to be rolled for low-encumbrance drone deployment and confined-space sampling. Our results demonstrate a new actuation paradigm for achieving high DOF, offering a compact, efficient blueprint for soft robot design.

Identifiers

PMID42777035
PMCPMC13600154

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.