Soft Robots Proprioception Through Stretchable Laser‐Induced Graphene Strain Sensors

Soft robotic grippers enable the safe manipulation of delicate objects, guaranteeing their integrity when handled and collected. Integrating sensors into these grippers can enable their proprioception but must avoid compromising flexibility or functionality. This study presents a pneumatic finger‐based soft gripper with a novel piezoresistive sensor made of laser‐induced graphene (LIG) embedded in dragon skin (DS), an elastomer matrix, offering continuous bending angle measurement. The LIG/DS composite is studied to confirm minimal impact on the gripper's stiffness. Mechanical and electromechanical characterizations are performed for two sensor designs, n 1 and n 2 . Design n 1 exhibits superior performance, with a gauge factor , a linear response of up to 30% strain, and durability exceeding 10 000 cycles. A finite‐element method analysis identifies the fingers’ neutral bending plane, guiding optimal sensor placement. Experimental validation confirms theoretical predictions and finds the ideal sensor location, achieving a linear response up to 110° with low hysteresis (8%). The sensor enables real‐time monitoring of finger bending during grasping tasks, with a calibration curve linking resistance changes to bending angles. This cost‐effective, stretchable, and durable sensor demonstrates high potential for soft robotic applications, offering precise and reliable proprioception without compromising the gripper's soft properties.

Authors

Institutions

Publication Details

Journal
Advanced Intelligent Systems
Published
2025-03-02
DOI
https://doi.org/10.1002/aisy.202401071
Citations
8
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
5.39

Funders

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

Soft Robots Proprioception Through Stretchable Laser‐Induced Graphene Strain Sensors

Radan Pathan, Matteo Cianchetti, Martina Maselli, Francesco Greco et al.
8 citations
Advanced Intelligent Systems
Advanced Sensor and Energy Harvesting Materials
5.39
article

Soft Robots Proprioception Through Stretchable Laser‐Induced Graphene Strain Sensors

Radan Pathan, Matteo Cianchetti, Martina Maselli, Francesco Greco, Niccolò Pagliarani, Anna Chiara Bressi, Giovanna De Luca
article en
8 citations

Abstract

Soft robotic grippers enable the safe manipulation of delicate objects, guaranteeing their integrity when handled and collected. Integrating sensors into these grippers can enable their proprioception but must avoid compromising flexibility or functionality. This study presents a pneumatic finger‐based soft gripper with a novel piezoresistive sensor made of laser‐induced graphene (LIG) embedded in dragon skin (DS), an elastomer matrix, offering continuous bending angle measurement. The LIG/DS composite is studied to confirm minimal impact on the gripper's stiffness. Mechanical and electromechanical characterizations are performed for two sensor designs, n 1 and n 2 . Design n 1 exhibits superior performance, with a gauge factor , a linear response of up to 30% strain, and durability exceeding 10 000 cycles. A finite‐element method analysis identifies the fingers’ neutral bending plane, guiding optimal sensor placement. Experimental validation confirms theoretical predictions and finds the ideal sensor location, achieving a linear response up to 110° with low hysteresis (8%). The sensor enables real‐time monitoring of finger bending during grasping tasks, with a calibration curve linking resistance changes to bending angles. This cost‐effective, stretchable, and durable sensor demonstrates high potential for soft robotic applications, offering precise and reliable proprioception without compromising the gripper's soft properties.

Advanced Intelligent SystemsVol. 7(10)
Piaggio (Italy) (IT), Scuola Superiore Sant'Anna (IT), Graz University of Technology (AT), Piaggio Aerospace (Italy) (IT)
Ministero dell’Istruzione, dell’Università e della Ricerca, Horizon 2020 Framework Programme
Openalex Percentile: Top 4%
Advanced Sensor and Energy Harvesting Materials
5.39
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.