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Improved Anthropomorphic Robotic Hand for Architecture and Construction: Integrating Prestressed Mechanisms with Self-Healing Elastomers
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Publication Year
2025-05-01
Journal
Biomimetics
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Citation
Biomimetics, Vol.10 No.5
Keyword
building constructionrobot-arm gripperrobotic architectureself-healing materialssoft robot
Mesh Keyword
Building constructionPneumatic robotPre-stressedPrestressed mechanismReversible mechanismsRobot armsRobot-arm gripperRobotics architectureSelf-healingSoft robot
All Science Classification Codes (ASJC)
BiotechnologyBioengineeringBiomaterialsBiochemistryBiomedical EngineeringMolecular Medicine
Abstract
Soft pneumatic robot-arm end-effectors can facilitate adaptive architectural fabrication and building construction. However, conventional pneumatic grippers often suffer from air leakage and tear, particularly under prolonged grasping and inflation-induced stress. To address these challenges, this study suggests an enhanced anthropomorphic gripper by integrating a pre-stressed reversible mechanism (PSRM) and a novel self-healing material (SHM) polyborosiloxane–Ecoflex™ hybrid polymer (PEHP) developed by the authors. The results demonstrate that PSRM finger grippers can hold various objects without external pressure input (12 mm displacement under a 1.2 N applied), and the SHM assists with recovery of mechanical properties upon external damage. The proposed robotic hand was evaluated through real-world construction tasks, including wall painting, floor plastering, and block stacking, showcasing its durability and functional performance. These findings contribute to promoting the cost-effective deployment of soft robotic hands in robotic construction.
ISSN
2313-7673
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/38356
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105006663520&origin=inward
DOI
https://doi.org/10.3390/biomimetics10050284
Journal URL
www.mdpi.com/journal/biomimetics
Type
Article
Funding
This research was funded by the National Research Foundation of Korea (NRF), NRF-RS-2024-00353461, and the New Faculty Research Grant of Korea University (K2406951).
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SEO, HYUNGTAK서형탁
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