Evidence map›Paper›PMID 40817096›Full record

ArticleNature communications2025

Bio-inspired multimodal soft actuator with environmental self-adaptation.

Chi Chen, Zixiao Liu, Pengju Shi, Yusen Zhao, Sidi Duan, Yingjie Du, Yichen Yan, Muqing Si, Tetsuya Iwasaki, Ximin He

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

10 authors.

Chi ChenDepartment of Material Science and Engineering, University of California, Los Angeles, CA, USA.ORCID http://orcid.org/0009-0006-7466-7870
Zixiao LiuDepartment of Material Science and Engineering, University of California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-1161-1803
Pengju ShiDepartment of Material Science and Engineering, University of California, Los Angeles, CA, USA.
Yusen ZhaoDepartment of Material Science and Engineering, University of California, Los Angeles, CA, USA.
Sidi DuanDepartment of Material Science and Engineering, University of California, Los Angeles, CA, USA.
Yingjie DuDepartment of Material Science and Engineering, University of California, Los Angeles, CA, USA.
Yichen YanDepartment of Material Science and Engineering, University of California, Los Angeles, CA, USA.
Muqing SiDepartment of Material Science and Engineering, University of California, Los Angeles, CA, USA.
Tetsuya IwasakiDepartment of Mechanical and Aerospace Engineering, University of California, Los Angeles, CA, USA.
Ximin HeDepartment of Material Science and Engineering, University of California, Los Angeles, CA, USA. ximinhe@ucla.edu.ORCID http://orcid.org/0000-0001-8845-4637

Funding

American Chemical Society (ACS) GR-63402United States Department of Defense | United States Navy | Office of Naval Research (ONR) N000142212595United States Department of Defense | United States Navy | Office of Naval Research (ONR) N000142412187
6 · The paper itself

Abstract

Autonomous soft robots with built-in feedback can achieve self-sustained motion under constant, untethered stimuli. However, these systems are constrained to single-mode actuation within a fixed structure under the same type of stimulus and require human intervention to switch modes, lacking the robust and efficient self-adaptation of living organisms in changing environments. Inspired by Gymnura micrura, we developed a light-responsive soft actuator with engineered asymmetry and a dynamic structure, integrating two distinct built-in feedback mechanisms governed by intrinsic bifurcation. Thus, the actuator can seamlessly switch between three different motion modes-tracking, undulation, and oscillation-exhibiting self-adaptation to environmental changes (e.g., light intensity, viscosity, temperatures, and physical contact). Furthermore, this multimodal capability facilitates unique environmental interactions, expanding applications beyond locomotion to include fluid dynamics, electronics, and environmental monitoring. Such an advancement in physical intelligence represents a pivotal step toward next-generation autonomous soft robotic systems, unlocking higher-level autonomy and unprecedented adaptive behaviors.

Identifiers

PMID40817096
PMCPMC12356950

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.