McKibben Artificial Muscle Embedded with Stretchable Textile Sensor

In order to control the posture of soft robots in dynamic environments, the movement of soft actuators such as McKibben artificial muscles must be monitored in real time. Researchers have developed various McKibben artificial muscles with embedded sensing components to achieve such monitoring. However, incorporating sensors into McKibben artificial muscles makes the system configuration more complicated and reduces the actuator's contraction rate. Furthermore, complex processing and circuitry are required, which limits applications. This study introduces a thin McKibben artificial muscle with an embedded resistive stretchable textile sensor (TES‐MAM), which does not require specialized measuring instruments. TES‐MAM measures displacement without additional sensing components outside the thin McKibben artificial muscle by incorporating a stretchable textile sensor inside the McKibben artificial muscle. The textile sensor exhibits excellent stretchability and does not degrade the contraction ratio. By fully embedding the textile sensor within the McKibben artificial muscle, which has an outer diameter of 4.5 mm, the structure of McKibben artificial muscle remains compact. TES‐MAM provides a clear and stable resistance response during repeated pressurization and release cycles under various displacement inputs. Using TES‐MAM, a single‐degree‐of‐freedom robotic arm is constructed and its ability to measure joint posture in real time is successfully demonstrated.

Authors

Institutions

Publication Details

Journal
Advanced Intelligent Systems
Published
2025-08-03
DOI
https://doi.org/10.1002/aisy.202500356
Citations
4
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
2.70
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

McKibben Artificial Muscle Embedded with Stretchable Textile Sensor

Sota Suzuki, Hiroyuki Nabae, Shingo Maeda, Shoma Tanaka
4 citations
Advanced Intelligent Systems
Advanced Sensor and Energy Harvesting Materials
2.70
article

McKibben Artificial Muscle Embedded with Stretchable Textile Sensor

Sota Suzuki, Hiroyuki Nabae, Shingo Maeda, Shoma Tanaka
article en
4 citations

Abstract

In order to control the posture of soft robots in dynamic environments, the movement of soft actuators such as McKibben artificial muscles must be monitored in real time. Researchers have developed various McKibben artificial muscles with embedded sensing components to achieve such monitoring. However, incorporating sensors into McKibben artificial muscles makes the system configuration more complicated and reduces the actuator's contraction rate. Furthermore, complex processing and circuitry are required, which limits applications. This study introduces a thin McKibben artificial muscle with an embedded resistive stretchable textile sensor (TES‐MAM), which does not require specialized measuring instruments. TES‐MAM measures displacement without additional sensing components outside the thin McKibben artificial muscle by incorporating a stretchable textile sensor inside the McKibben artificial muscle. The textile sensor exhibits excellent stretchability and does not degrade the contraction ratio. By fully embedding the textile sensor within the McKibben artificial muscle, which has an outer diameter of 4.5 mm, the structure of McKibben artificial muscle remains compact. TES‐MAM provides a clear and stable resistance response during repeated pressurization and release cycles under various displacement inputs. Using TES‐MAM, a single‐degree‐of‐freedom robotic arm is constructed and its ability to measure joint posture in real time is successfully demonstrated.

Advanced Intelligent SystemsVol. 7(12)
Tokyo Institute of Technology (JP)
Openalex Percentile: Top 10%
Advanced Sensor and Energy Harvesting Materials
2.70
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.