Evidence map›Paper›PMID 39504364›Full record

ArticleScience advances2024

Heterogeneous multiple soft millirobots in three-dimensional lumens.

Chunxiang Wang, Tianlu Wang, Mingtong Li, Rongjing Zhang, Halim Ugurlu, Metin Sitti

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Physical Intelligence in Small-Scale Robots and Machines.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  6. Article
  7. Article
  8. Soft Micromanipulation Robot for Real-Time Adaptive Multimodal Operation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Review
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

6 authors.

Chunxiang WangPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.ORCID 0000-0002-6130-3553
Tianlu WangPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.ORCID 0000-0001-9972-7821
Mingtong LiPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.ORCID 0000-0002-1685-6052
Rongjing ZhangPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.
Halim UgurluZentrum für Radiologie Heilbronn, 74177 Heilbronn, Germany.ORCID 0000-0001-6782-4328
Metin SittiPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.ORCID 0000-0001-8249-3854

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Miniature soft robots offer opportunities for safe and physically adaptive medical interventions in hard-to-reach regions. Deploying multiple robots could further enhance the efficacy and multifunctionality of these operations. However, multirobot deployment in physiologically relevant three-dimensional (3D) tubular structures is limited by the lack of effective mechanisms for independent control of miniature magnetic soft robots. This work presents a framework leveraging the shape-adaptive robotic design and heterogeneous resistance from robot-lumen interactions to enable magnetic multirobot control. We first compute influence and actuation regions to quantify robot movement. Subsequently, a path planning algorithm generates the trajectory of a permanent magnet for multirobot navigation in 3D lumens. Last, robots are controlled individually in multilayer lumen networks under medical imaging. Demonstrations of multilocation cargo delivery and flow diversion manifest their potential to enhance biomedical functions. This framework offers a solution to multirobot actuation benefiting applications across different miniature robotic devices in complex environments.

Identifiers

PMID39504364
PMCPMC11540014

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.