Evidence map›Paper›PMID 41576159›Full record

ArticleScience advances2026

Bioinspired growable humanoid robot with bone-mimetic linkages for versatile mobility.

Hao Liu, Yanda Yang, Ting Wang, Jintao Yin, Hongqiang Wang

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.

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

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.

Hao LiuDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.ORCID 0000-0002-2300-769X
Yanda YangDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.ORCID 0009-0001-8492-6235
Ting WangDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.ORCID 0000-0003-3587-7016
Jintao YinDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.ORCID 0009-0003-7747-1257
Hongqiang WangDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.ORCID 0000-0002-7286-7514

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inspired by human biomechanics, humanoid robots are often designed to mimic human kinematics but typically lack key traits of developing bones, such as growability, lightweight yet stiff construction, and compliance for impact absorption. This work introduces a bone-inspired linkage structure with up to 315% extensibility, weighing only 350 grams while maintaining high load capacity, compliance, and stability. Integrated into a soft humanoid robot, these growable linkages enable dynamic shape adaptation, reducing height to 36% and width to 61%, to traverse tight spaces. By combining growable link actuation with servomotors, the robot switches to crawling mode and moves 1122 times faster than using motors or soft actuators alone. At just 4.5 kilograms, GrowHR can float, swim, walk on water, and fly. Its soft body ensures safe human interaction, allowing hugging, falling, and lifting without injury. Deformable legs demonstrate elastic energy storage and release under external loading, allowing motions beyond the limits of rigid structures. This work pioneers a growable, multifunctional robotic design approach for dynamic, complex environments.

Indexed as

Biomimetic MaterialsBiomimeticsBone and BonesRoboticsBiomechanical PhenomenaHumans

Identifiers

PMID41576159
PMCPMC12829565

What OpenQuestion holds

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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.