Please use this identifier to cite or link to this item: https://bura.brunel.ac.uk/handle/2438/34134
Title: Distributed Micropneumatic Sensors for Soft Robots to Detect Touch and Pose
Authors: Lampinen, Vilma
Pihlajamäki, Mika
Huda, Md Nazmul
Sariola, Veikko
Keywords: microfluidics;pneumatic actuator;pneumatics;soft gripper;soft sensors
Issue Date: 14-Oct-2026
Publisher: Wiley-VCH
Citation: Lampinen, V. et al. (2026) 'Distributed Micropneumatic Sensors for Soft Robots to Detect Touch and Pose', Advanced Robotics Research, 0(ahead of print), e70186, pp. 1–11. doi: 10.1002/adrr.70186.
Abstract: Soft robots benefit from their compliant materials, but the potential of safe and reliable operation remains limited without integration of strain and tactile sensors to detect contact, collisions, and robot pose. While humans achieve dexterous grasping through a dense distribution of mechanoreceptors in their hands, soft robotic grippers likewise need touch and pose sensing. Soft grippers often use pneumatic actuators, but integrating electrical or optical sensors to such actuators complicates their fabrication. Recently, we have reported a novel class of stretchable sensors, where the tactile pressure or strain measurement is based on measuring changes in airflow resistance caused by the deformation of a soft microchannel. These sensors are fabricated using identical techniques and materials as soft pneumatic actuators. In this work, we present a three‐fingered soft gripper with 18 distributed micropneumatic sensors. Each finger consists of a pneumatic actuator and six micropneumatic sensors. We demonstrate that multichannel micropneumatic sensing enables reliable detection of finger pose and object contact, supporting object recognition during grasping. Overall, the work provides a solution for integrating touch and pose sensing into soft robots without requiring additional fabrication methods or materials beyond those used for pneumatic actuators.
Description: Data Availability Statement: The data generated and analyzed during the study and the scripts used to analyze the data are available from Zenodo (https://doi.org/10.5281/zenodo.23264495), reference number 23264495.
Supporting Information is available online at: https://advanced.onlinelibrary.wiley.com/doi/10.1002/adrr.70186#support-information-section .
URI: https://bura.brunel.ac.uk/handle/2438/34134
DOI: https://doi.org/10.1002/adrr.70186
ISSN: 2943-9973
Appears in Collections:Department of Engineering Research Papers *

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