Evidence map›Paper›PMID 38026542›Full record

ArticleCyborg and bionic systems (Washington, D.C.)2023

The Autonomous Pipeline Navigation of a Cockroach Bio-Robot with Enhanced Walking Stimuli.

Songsong Ma, Yuansheng Chen, Songlin Yang, Shen Liu, Lingqi Tang, Bing Li, Yao Li

Abstract read
In one paragraph

Article in Cyborg and bionic systems (Washington, D.C.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Zoborg: On-Demand Climbing Control for Cyborg Beetles.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Yeast-Driven and Bioimpedance-Sensitive Biohybrid Soft Robots.Cyborg and bionic systems (Washington, D.C.) · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Underwater Robots and Key Technologies for Operation Control.Cyborg and bionic systems (Washington, D.C.) · 2024
    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

7 authors.

Songsong MaState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China.ORCID https://orcid.org/0000-0003-0999-7209
Yuansheng ChenSchool of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, China.
Songlin YangSchool of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, China.
Shen LiuSchool of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, China.
Lingqi TangThe Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Bing LiState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China.
Yao LiState Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China.ORCID https://orcid.org/0000-0003-3656-5858

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tens of crawling bio-robots with cockroaches as the mobile platform have been developed with various functions. Compared with artificial crawling robots of the same size, they revealed better flexibility, larger payload, and stronger endurance. These features made bio-robots ideal for pipeline inspection scenarios because the advancements in locomotion mechanisms and efficient power systems are still hurdles for current artificial systems. In this study, we controlled the bio-robot to crawl in the confined dark pipeline and achieved autonomous motion control with the help of an onboard sensing system. Specifically, a micro-camera was mounted on the electronic backpack of the cockroach for image collection, and an IMU sensor was used to compute its body orientation. The electronic backpack transmitted images to the host computer for junction recognition and distance estimation. Meanwhile, the insect's habituation to electrical stimulation has long been an uncertain factor in the control of bio-robots. Here, a synergistic stimulation strategy was proposed to markedly reduce the habituation and increase the number of effective turning controls to over 100 times. It is also found that both the increase of payload and the application of stimulations could promote the metabolic rate by monitoring carbon dioxide release. With the integration of synergistic stimulation and autonomous control, we demonstrated the fully autonomous pipeline navigation with our cockroach bio-robot, which realized the cycle number of approximately 10 in a roll. This research provides a novel technology that has the potential for practical applications in the future.

Identifiers

PMID38026542
PMCPMC10631459

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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.