Liquid Metal Sloshing for High‐Load Active Self‐Healing System: An Application to Tendon‐Driven Legged Robot

Self‐healing is a promising approach for damage management in high‐load robot applications, such as legged robots. It is becoming a major function in soft robotics; however, its application to support heavyweight is relatively niche. Although previous studies has developed several self‐healing tensile modules for tendon‐driven robots, these modules suffered from deficient healing strength because of the formation of surface oxides. This study proposes a biomimetic approach to enhance self‐healing performance. This approach exploits the motion of the robot to trigger the sloshing of liquid metal, which decomposes surface oxide. The method is validated using a benchtop module test, resulting in a healed strength of over tens of kilograms. Moreover, the module enables the tendon‐driven monopod testbed to perform a squat motion 13 times after a landing impact fracture and self‐healing sequence. The self‐healing module does not break during or after the squatting motion. To the best of our knowledge, this is the first demonstration of active self‐healing behavior using a life‐sized legged robot. Thus, this study provides a novel approach in the field of self‐healing robotics for improving self‐healing, thus contributing to medical robot and mechatronic designs, including rehabilitation, surgical, and diagnostic robots.

Authors

Institutions

Publication Details

Journal
Advanced Intelligent Systems
Published
2025-05-06
DOI
https://doi.org/10.1002/aisy.202500040
Citations
1
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
Field-Weighted Citation Impact
1.15

Funders

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

Liquid Metal Sloshing for High‐Load Active Self‐Healing System: An Application to Tendon‐Driven Legged Robot

Akihiro Miki, Yuya Nagamatsu, Koki Shinjo, Shinsuke Nakashima et al.
1 citations
Advanced Intelligent Systems
Underwater Vehicles and Communication Systems
1.15
article

Liquid Metal Sloshing for High‐Load Active Self‐Healing System: An Application to Tendon‐Driven Legged Robot

Akihiro Miki, Yuya Nagamatsu, Koki Shinjo, Shinsuke Nakashima, Yuki Asano, Masayuki Inaba, Kento Kawaharazuka, Yohei Kakiuchi, Kei Okada
article en
1 citations

Abstract

Self‐healing is a promising approach for damage management in high‐load robot applications, such as legged robots. It is becoming a major function in soft robotics; however, its application to support heavyweight is relatively niche. Although previous studies has developed several self‐healing tensile modules for tendon‐driven robots, these modules suffered from deficient healing strength because of the formation of surface oxides. This study proposes a biomimetic approach to enhance self‐healing performance. This approach exploits the motion of the robot to trigger the sloshing of liquid metal, which decomposes surface oxide. The method is validated using a benchtop module test, resulting in a healed strength of over tens of kilograms. Moreover, the module enables the tendon‐driven monopod testbed to perform a squat motion 13 times after a landing impact fracture and self‐healing sequence. The self‐healing module does not break during or after the squatting motion. To the best of our knowledge, this is the first demonstration of active self‐healing behavior using a life‐sized legged robot. Thus, this study provides a novel approach in the field of self‐healing robotics for improving self‐healing, thus contributing to medical robot and mechatronic designs, including rehabilitation, surgical, and diagnostic robots.

Advanced Intelligent SystemsVol. 7(7)
The University of Tokyo (JP)
Japan Society for the Promotion of Science London, Japan Society for the Promotion of Science
Openalex Percentile: Top 23%
Underwater Vehicles and Communication Systems
1.15
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.