Fluidic feedback for soft actuators: an electronic-free system for sensing and control

The field of pneumatic soft robotics is on the rise. However, most pneumatic soft robots still heavily rely on rigid valves and conventional electronics for control, which detracts from their natural flexibility and adaptability. Efforts have focused on substituting electronic controllers with pneumatic counterparts to address this limitation. Despite significant progress, contemporary soft control systems still face considerable challenges, as they predominantly depend on pre-programmed commands instead of real-time sensory feedback. To confront these challenges, we propose an electronic-free soft actuator system capable of achieving basic sensorimotor behaviors. The soft actuator employs a fluidic strain sensor to obtain proprioception, detecting changes in air impedance resulting from stretching and compression. Integration of this sensor with a pneumatic valve enables the soft actuator possessing basic sensing and control capabilities. Drawing inspiration from the somatosensory and neuromuscular systems found in biological organisms, we implement both open-loop and closed-loop motion modes using different connection configurations. They facilitate cyclic movement and sensory feedback-regulated motion control using 'material intelligence'. We envisage that this system has the potential to expand to accommodate multiple limbs, thereby pioneering the development of fully fluidic soft robots.

Authors

Institutions

Publication Details

Journal
Bioinspiration & Biomimetics
Published
2024-12-13
DOI
https://doi.org/10.1088/1748-3190/ad9f02
Citations
4
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
0.74

Funders

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

Fluidic feedback for soft actuators: an electronic-free system for sensing and control

Honglei Zhen, Shuaiyang Duan, Xiaopeng Sha, Shuyu Wang
4 citations
Bioinspiration & Biomimetics
Soft Robotics and Applications
0.74
article

Fluidic feedback for soft actuators: an electronic-free system for sensing and control

Honglei Zhen, Shuaiyang Duan, Xiaopeng Sha, Shuyu Wang
article en
4 citations

Abstract

The field of pneumatic soft robotics is on the rise. However, most pneumatic soft robots still heavily rely on rigid valves and conventional electronics for control, which detracts from their natural flexibility and adaptability. Efforts have focused on substituting electronic controllers with pneumatic counterparts to address this limitation. Despite significant progress, contemporary soft control systems still face considerable challenges, as they predominantly depend on pre-programmed commands instead of real-time sensory feedback. To confront these challenges, we propose an electronic-free soft actuator system capable of achieving basic sensorimotor behaviors. The soft actuator employs a fluidic strain sensor to obtain proprioception, detecting changes in air impedance resulting from stretching and compression. Integration of this sensor with a pneumatic valve enables the soft actuator possessing basic sensing and control capabilities. Drawing inspiration from the somatosensory and neuromuscular systems found in biological organisms, we implement both open-loop and closed-loop motion modes using different connection configurations. They facilitate cyclic movement and sensory feedback-regulated motion control using 'material intelligence'. We envisage that this system has the potential to expand to accommodate multiple limbs, thereby pioneering the development of fully fluidic soft robots.

Bioinspiration & BiomimeticsVol. 20(1)
Hebei University of Environmental Engineering (CN), Eastern University (BD), Northeastern University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hebei Province
Openalex Percentile: Top 31%
Soft Robotics and Applications
0.74
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.