Evidence map›Paper›PMID 42012945›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Amphibious passive adaptation in untethered soft robots.

Shukun Yin, Dickson R Yao, Inho Kim, Wenjie Zhou, Wenzheng Heng, Wenjian Li, Songsong Tang, Xiaotian Ma, Yadong Xu, Gwangmook Kim and 4 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

Shukun Yin *Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125.ORCID 0000-0002-8218-9219
Dickson R Yao *Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125.
Inho KimDivision of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125.
Wenjie ZhouDivision of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125.
Wenzheng HengDivision of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125.
Wenjian LiDivision of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125.
Songsong TangDivision of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125.ORCID 0000-0003-4699-6563
Xiaotian MaDivision of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125.ORCID 0009-0000-8357-9916
Yadong XuDivision of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125.ORCID 0000-0001-8885-6433
Gwangmook KimDivision of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125.ORCID 0000-0002-7469-408X
Hong HanDivision of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125.ORCID 0000-0002-2852-8662
Kexin FanDivision of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125.ORCID 0000-0003-3818-5891
Chiara DaraioDivision of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125.ORCID 0000-0001-5296-4440
Wei GaoDivision of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125.ORCID 0000-0002-8503-4562

Funding

Heritage Medical Research Institute (HMRI) N/ANational Research Foundation of Korea (NRF) RS-2024-00411904
6 · The paper itself

Abstract

Mobile robots are increasingly deployed in diverse settings, ranging from logistic and household applications to ecological monitoring and operation in extreme environments. In these contexts, robots must traverse diverse terrains, yet most existing designs rely on fixed morphologies that limit efficiency across domains. Biomimetic solutions emulate natural forms but cannot fully exploit engineered mechanisms, while active adaptive architectures typically require complex electronics and incur substantial energy costs. Inspired by amphibians and reptiles, we developed AdaptBot, an untethered adaptive soft robot that integrates rigid machinery with responsive soft materials to achieve passive reconfiguration for amphibious locomotion. AdaptBot employs a single bioinspired photothermal artificial muscle (PAM) to power multiple gaits by light, a fast and large swelling hydrogel (FLASH) to drive passive fin deployment in water, and a ratcheting transmission to convert reciprocating PAM motion into forward locomotion. These elements enable multimodal performance-including rolling, load-carrying, climbing, and paddling-under wireless control across terrestrial, aquatic, and transitional environments. Remarkably, following fin deployment, AdaptBot's swimming speed increased by 780%, demonstrating that passive adaptation is an effective strategy to enhance locomotor efficiency in robots operating in unstructured and dynamic environments.

Indexed as

AmphibiansBiomimeticsRoboticsAnimalsLocomotionSwimmingamphibious locomotionartificial musclepassive adaptationsoft roboticsswelling hydrogel

Identifiers

PMID42012945
PMCPMC13123914

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.