Evidence map›Paper›PMID 40593651›Full record

ArticleNature communications2025

Modular shape-changing tensegrity-blocks enable self-assembling robotic structures.

Luyang Zhao, Yitao Jiang, Muhao Chen, Kostas Bekris, Devin Balkcom

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 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

5 authors.

Luyang ZhaoDepartment of Computer Science, Dartmouth College, Hanover, NH, USA. luyang.zhao.gr@dartmouth.edu.ORCID http://orcid.org/0000-0001-9419-8289
Yitao JiangDepartment of Computer Science, Dartmouth College, Hanover, NH, USA.ORCID http://orcid.org/0009-0009-4052-1170
Muhao ChenDepartment of Mechanical and Aerospace Engineering, University of Kentucky, Lexington, KY, USA.ORCID http://orcid.org/0000-0003-1812-6835
Kostas BekrisDepartment of Computer Science, Rutgers University, New Brunswick, NJ, USA.
Devin BalkcomDepartment of Computer Science, Dartmouth College, Hanover, NH, USA.

Funding

National Science Foundation (NSF) 1954882
6 · The paper itself

Abstract

Modular robots are currently designed to perform a variety of tasks, primarily focusing on locomotion or manipulation through the reconfiguration of rigid modules. However, the potential to integrate multiple functions, such as making each robot deployable and capable of building lattice structures for self-construction and infrastructure creation, remains largely unexplored. To advance the field, we hypothesize that combining tensegrity principles with modular robotics can create lightweight, deformable units capable of integrating three critical functions within a single design: navigating varied terrains, manipulating arbitrary shape objects, and assembling weight-sustainable, active large infrastructures. Here, we designed untethered modular robots that are deformable, lightweight, deployable, outdoor-scale, capable of bearing loads, and capable of 3D attachment and detachment. With these characteristics, the system can form various 3D structures using different assembly methods, such as walking into position or being transported by rotorcraft. The deformability and lightweight nature of each block enable the assembled structures to dynamically change shape, providing capabilities such as added compliance during locomotion and manipulation and the ability to interact with the environment in tasks like tent and bridge assemblies. In summary, we suggest that integrating lightweight and deformable properties into modular robot design offers potential improvements in their adaptability and multi-functionality.

Identifiers

PMID40593651
PMCPMC12218305

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.