Evidence map›Paper›PMID 42616862›Full record

ArticleScience advances2026

Evolutionary diversification via modular compliance for self-reconfigurable continuum robots.

Yilin Cai, Zhefeng Huang, Yifan Wang, Haokai Xu, Yue Chen

Abstract read
In one paragraph

Article in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yilin CaiWoodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0002-7778-9092
Zhefeng HuangWoodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0003-1305-318X
Yifan WangWoodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0003-3295-4506
Haokai XuInstitute for Robotics and Intelligent Machines (IRIM), Georgia Institute of Technology, Atlanta, GA 30332, USA.
Yue ChenInstitute for Robotics and Intelligent Machines (IRIM), Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0001-9224-4165

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modular self-reconfigurable robots promise adaptability through changes in morphology, yet most existing systems remain limited by low functional density, rigid modules, and constrained docking interfaces that restrict scalable locomotion and manipulation. In contrast, biological organisms achieve rich behavioral diversity through repeated compliant segments combined with flexible articulated body architectures to support locomotion, manipulation, and environmental interaction. Here, we present a modular self-reconfigurable continuum robot that exploits modular compliance as a unifying design principle to enable cross-species bioinspired loco-manipulation within a single platform. Each module integrates a continuum backbone for compliant bending and a pair of grippers for omnidirectional, quasi-freeform docking, achieving high functional density within a compact unit. As a result, a small number of modules can assemble into diverse morphologies capable of distinct capabilities. We further develop a morphology-conditioned gait library covering rolling, undulation, crawling, quadrupedal walking, and multisegment manipulation, organized within an evolutionary diversification tree that explicitly links biological locomotion strategies to corresponding robotic assembly patterns. To enable autonomous transitions between configurations, we introduce a unified geometric-topological representation and a self-reconfiguration planner that decomposes reconfiguration into discrete grasping and releasing actions and continuous deformation actions. Hardware experiments demonstrate online self-reconfiguration, followed by integrated loco-manipulation. Together, these results show that embedding compliance at the module level unifies locomotion, manipulation, and self-reconfiguration within a single robotic platform, suggesting a pathway toward more adaptable machines that exhibit organism-like behaviors across species.

Indexed as

Biological EvolutionRoboticsAnimalsLocomotion

Identifiers

PMID42616862
PMCPMC13488886

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LicenceCC BY
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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.