Plants Inspired Shape‐Programmable and Reconfigurable Actuation Soft Actuators for Adaptive Grasping, Sensing and Recognition

Developing soft actuators capable of large deformations under various stimuli is crucial for applications in artificial muscles, medical devices, and beyond. However, creating intelligent soft actuators that can operate in diverse environments and perform complex tasks remains challenging. Therefore, inspired by diverse natural plants, a sandwich-structured soft actuator (LPPSA) with shape programmability and reconfigurable actuation, integrating poly(N-isopropylacrylamide) (PNIPAM) and liquid crystal elastomer (LCE) via polypropylene nonwoven fabric is designed and fabricated. Above its lower critical solution temperature (LCST), the PNIPAM hydrogel undergoes a transition from hydrophilic to hydrophobic, allowing for shape programmability of LPPSA through controlled stimuli duration and location. The LCE layer's rapid response to thermal stimuli allows LPPSA to deform quickly, while the photothermal converter (Solvent Black 7) facilitates wireless actuation under near-infrared radiation (NIR). The work demonstrates LPPSA's capabilities in underwater grasping, variable-volume gripping, and biomimetic tasks such as mimicking the opening and closing of flower petals, as well as gesture transformations. Moreover, LPPSA functions as a sensor, transmitting information on motion and temperature, and uses machine learning for underwater object shape recognition. This work establishes a template for designing multifunctional soft actuators capable of operating in diverse environments, advancing applications in soft robotics and intelligent systems.

Authors

Institutions

Publication Details

Journal
Small
Published
2025-04-08
DOI
https://doi.org/10.1002/smll.202501164
Citations
12
Primary Topic
Advanced Materials and Mechanics
Type
article
Field-Weighted Citation Impact
8.56

Funders

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

Plants Inspired Shape‐Programmable and Reconfigurable Actuation Soft Actuators for Adaptive Grasping, Sensing and Recognition

Zixu Zhang, Weizhong Yuan, Zhi Li
12 citations
Small
Advanced Materials and Mechanics
8.56
article

Plants Inspired Shape‐Programmable and Reconfigurable Actuation Soft Actuators for Adaptive Grasping, Sensing and Recognition

Zixu Zhang, Weizhong Yuan, Zhi Li
article en
12 citations

Abstract

Developing soft actuators capable of large deformations under various stimuli is crucial for applications in artificial muscles, medical devices, and beyond. However, creating intelligent soft actuators that can operate in diverse environments and perform complex tasks remains challenging. Therefore, inspired by diverse natural plants, a sandwich-structured soft actuator (LPPSA) with shape programmability and reconfigurable actuation, integrating poly(N-isopropylacrylamide) (PNIPAM) and liquid crystal elastomer (LCE) via polypropylene nonwoven fabric is designed and fabricated. Above its lower critical solution temperature (LCST), the PNIPAM hydrogel undergoes a transition from hydrophilic to hydrophobic, allowing for shape programmability of LPPSA through controlled stimuli duration and location. The LCE layer's rapid response to thermal stimuli allows LPPSA to deform quickly, while the photothermal converter (Solvent Black 7) facilitates wireless actuation under near-infrared radiation (NIR). The work demonstrates LPPSA's capabilities in underwater grasping, variable-volume gripping, and biomimetic tasks such as mimicking the opening and closing of flower petals, as well as gesture transformations. Moreover, LPPSA functions as a sensor, transmitting information on motion and temperature, and uses machine learning for underwater object shape recognition. This work establishes a template for designing multifunctional soft actuators capable of operating in diverse environments, advancing applications in soft robotics and intelligent systems.

SmallVol. 21(22)
Tongji University (CN)
National Natural Science Foundation of China
Life below water
Openalex Percentile: Top 2%
Advanced Materials and Mechanics
8.56
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.

Plants Inspired Shape‐Programmable and Reconfigurable Actuation Soft Actuators for Adaptive Grasping, Sensing and Recognition — Zixu Zhang, Weizhong Yuan, et al. · Small (2025) | TGRS Research Map | TGRS