Bleeding‐Mimetic Damage‐Detecting and Self‐Healing Modular Skin for Inflatable Structures

The extension of the lifespan of soft robots necessitates the establishment of an effective self‐healing system accompanied by rapid damage detection. Inspired by the mechanisms of bleeding and blood coagulation, a novel damage‐detecting and self‐healing modular skin is developed for inflatable structures. This alternative structural material is realized using a liquid conductive polymer composed of an elastomer, conductive particles, and a dispersant. Encapsulated in a thin layer, this conductive polymer is found to be capable of both damage detection through generating an electric current and subsequent self‐healing through its solidification in the damaged area. The repeated and reproducible generation of electric current is confirmed both prior to and subsequent to the infliction of damage to the patch. A comparison of conductive polymers with distinct mixing ratios reveals that the changes in electric current following the solidification on the patches are different. The applicability of the modular skins is confirmed by their conduciveness to assembly for various curvatures and larger areas of inflatable structures. The proposed modular skins feature an easy fabrication process, a simple chemical mechanism, and high adaptability to inflatable structures, thus displaying considerable potential for pioneering a new methodology for effective damage detection and self‐healing systems in inflatable robots.

Authors

Institutions

Publication Details

Journal
Advanced Robotics Research
Published
2025-04-24
DOI
https://doi.org/10.1002/adrr.202500009
Citations
1
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.67

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bleeding‐Mimetic Damage‐Detecting and Self‐Healing Modular Skin for Inflatable Structures

Ryuma Niiyama, Hyun Jae Lee
1 citations
Advanced Robotics Research
Advanced Sensor and Energy Harvesting Materials
0.67
article

Bleeding‐Mimetic Damage‐Detecting and Self‐Healing Modular Skin for Inflatable Structures

Ryuma Niiyama, Hyun Jae Lee
article en
1 citations

Abstract

The extension of the lifespan of soft robots necessitates the establishment of an effective self‐healing system accompanied by rapid damage detection. Inspired by the mechanisms of bleeding and blood coagulation, a novel damage‐detecting and self‐healing modular skin is developed for inflatable structures. This alternative structural material is realized using a liquid conductive polymer composed of an elastomer, conductive particles, and a dispersant. Encapsulated in a thin layer, this conductive polymer is found to be capable of both damage detection through generating an electric current and subsequent self‐healing through its solidification in the damaged area. The repeated and reproducible generation of electric current is confirmed both prior to and subsequent to the infliction of damage to the patch. A comparison of conductive polymers with distinct mixing ratios reveals that the changes in electric current following the solidification on the patches are different. The applicability of the modular skins is confirmed by their conduciveness to assembly for various curvatures and larger areas of inflatable structures. The proposed modular skins feature an easy fabrication process, a simple chemical mechanism, and high adaptability to inflatable structures, thus displaying considerable potential for pioneering a new methodology for effective damage detection and self‐healing systems in inflatable robots.

Advanced Robotics ResearchVol. 1(2)
Meiji University (JP)
Moonshot Research and Development Program
Responsible consumption and production
Openalex Percentile: Top 33%
Advanced Sensor and Energy Harvesting Materials
0.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.