Evidence map›Paper›PMID 39762294›Full record

ArticleNature communications2025

Swarm navigation of cyborg-insects in unknown obstructed soft terrain.

Yang Bai, Phuoc Thanh Tran Ngoc, Huu Duoc Nguyen, Duc Long Le, Quang Huy Ha, Kazuki Kai, Yu Xiang See To, Yaosheng Deng, Jie Song, Naoki Wakamiya and 2 more

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Zoborg: On-Demand Climbing Control for Cyborg Beetles.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  8. Article
  9. 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

12 authors.

Yang Bai *Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita, 5650871, Osaka, Japan.ORCID http://orcid.org/0000-0003-1080-1939
Phuoc Thanh Tran Ngoc *School of Mechanical & Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore.ORCID http://orcid.org/0000-0002-5298-1846
Huu Duoc Nguyen *School of Mechanical & Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore.
Duc Long LeSchool of Mechanical & Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore.
Quang Huy HaSchool of Mechanical & Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore.
Kazuki KaiSchool of Mechanical & Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore.
Yu Xiang See ToSchool of Mechanical & Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore.
Yaosheng DengGraduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita, 5650871, Osaka, Japan.ORCID http://orcid.org/0009-0008-0909-6463
Jie SongGraduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita, 5650871, Osaka, Japan.ORCID http://orcid.org/0009-0001-4760-2629
Naoki WakamiyaGraduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita, 5650871, Osaka, Japan. wakamiya@ist.osaka-u.ac.jp.ORCID http://orcid.org/0000-0002-6195-6087
Hirotaka SatoSchool of Mechanical & Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore. hirosato@ntu.edu.sg.ORCID http://orcid.org/0000-0003-4634-1639
Masaki OguraGraduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita, 5650871, Osaka, Japan. oguram@hiroshima-u.ac.jp.ORCID http://orcid.org/0000-0002-3857-3942

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cyborg insects refer to hybrid robots that integrate living insects with miniature electronic controllers to enable robotic-like programmable control. These creatures exhibit advantages over conventional robots in adaption to complex terrain and sustained energy efficiency. Nevertheless, there is a lack of literature on the control of multi-cyborg systems. This research gap is due to the difficulty in coordinating the movements of a cyborg system under the presence of insects' inherent individual variability in their reactions to control input. Regarding this issue, we propose a swarm navigation algorithm and verify it under experiments. This research advances swarm robotics by integrating biological organisms with control theory to develop intelligent autonomous systems for real-world applications.

Identifiers

PMID39762294
PMCPMC11704230

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.