Adaptive dual-programming magnetic soft robot with lifelike behavior

Magnetic soft robots with embodied intelligence of multimodal motions, environmental perception, and functional decoupling depend on ingenious material arrangement and programmable morphing information introduction. While some efforts have been made, achieving lifelike behaviors for soft robots in system-level strategy remains a notable challenge. Here, we present dual-programming hydrogel-based soft robots (DHSRs) that couple magnetic and anisotropic programming through the spatial arrangement of patterned magnetic skeletons into responsive and structural hydrogel bodies. These DHSRs exhibit programmable exquisite and multicurved structures in three-dimensional (3D) space, environment-adaptive deformation behaviors proved by switching from random jumping on land to regular swimming in water of a fish-like soft robot, and further locomotion-function decoupling capabilities of region-selective cargo delivery in an integrated "locomotion-perception-action" workflow. Our strategy in biomedical potential is exemplified by a ring-like pH-responsive DHSR for gastric ulcer therapy, which integrates multimodal locomotion (rolling, tumbling, and rotating), adaptive matching, and microneedle-mediated penetration. By collaborating with a capsule endoscopy system, we explore the possibility of a wireless and painless diagnostic-therapeutic platform in a pig model. This strategy endows the robot with perception and multitask execution capabilities, highlighting a promising route for the intelligent evolution of soft robots across diverse application domains.

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Publication Details

Journal
Science Advances
Published
2026-11-06
DOI
https://doi.org/10.1126/sciadv.aeh1001
Primary Topic
Advanced Materials and Mechanics
Type
article
Field-Weighted Citation Impact
0.00

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article

Adaptive dual-programming magnetic soft robot with lifelike behavior

Yanchen Ye, Yue Dong, Rongye Wu, Sen Wang et al.
3 links
Science Advances
Advanced Materials and Mechanics
article

Adaptive dual-programming magnetic soft robot with lifelike behavior

Yanchen Ye, Yue Dong, Rongye Wu, Sen Wang, Li Zhang, Bing Li, Weijia Li, Shuang Song, Neng Xia, Hao Wu, Can Xu, TianYe Yang
article en

Abstract

Magnetic soft robots with embodied intelligence of multimodal motions, environmental perception, and functional decoupling depend on ingenious material arrangement and programmable morphing information introduction. While some efforts have been made, achieving lifelike behaviors for soft robots in system-level strategy remains a notable challenge. Here, we present dual-programming hydrogel-based soft robots (DHSRs) that couple magnetic and anisotropic programming through the spatial arrangement of patterned magnetic skeletons into responsive and structural hydrogel bodies. These DHSRs exhibit programmable exquisite and multicurved structures in three-dimensional (3D) space, environment-adaptive deformation behaviors proved by switching from random jumping on land to regular swimming in water of a fish-like soft robot, and further locomotion-function decoupling capabilities of region-selective cargo delivery in an integrated "locomotion-perception-action" workflow. Our strategy in biomedical potential is exemplified by a ring-like pH-responsive DHSR for gastric ulcer therapy, which integrates multimodal locomotion (rolling, tumbling, and rotating), adaptive matching, and microneedle-mediated penetration. By collaborating with a capsule endoscopy system, we explore the possibility of a wireless and painless diagnostic-therapeutic platform in a pig model. This strategy endows the robot with perception and multitask execution capabilities, highlighting a promising route for the intelligent evolution of soft robots across diverse application domains.

Science AdvancesVol. 12(45)
Chinese University of Hong Kong (HK), Harbin Institute of Technology (CN), Key Laboratory of Guangdong Province (CN), State Key Laboratory of Robotics and Systems (CN)
National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 25%
Advanced Materials and Mechanics
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