Stimuli-responsive electrofluidic nervous system for autonomous soft robots
Stimuli-responsive electrofluidic nervous system for autonomous soft robots
Many organisms like earthworms with soft bodies and simple nervous systems can sense and respond to stimuli, conducting complex tasks such as navigation, foraging and transporting objects. However, most soft robots currently require rigid semiconductor-based electronics for sensing and control, limiting the benefits of their soft bodies and posing challenges for integration. To address these limitations, we propose a stimuli-responsive electrofluidic nervous system (SENS) composed of soft materials to realize signal generation, multimodal stimuli-sensing and decision making for multi-actuator soft electroactive robots.
SENS is composed of multiple fluidic switches, which are driven by electroactive actuators and by external stimuli such as force and heat transduced into fluidic movement by sensing receptors. Electrofluidic circuits are created using these switches to achieve self-starting oscillating circuits that control input voltages to actuators and mode-selection units that activate specific oscillating circuits based on applied external stimuli to achieve stimuli-responsive behaviors. Utilizing SENS, we realized a soft crawling robot that can change its direction of motion in response to tactile and heat stimuli. The robot is made of a dielectric elastomer actuator and two electroadhesion actuators. Furthermore, an untethered soft robot has been developed with a miniaturized SENS and an
onboard constant voltage power source, which can exhibit unidirectional motion. This work constitutes a step towards developing electronics-free, entirely soft autonomous robots capable of versatile and adaptive tasks.
Saha, Dip Kumar
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Ragab, Dana
964b3fa2-ecf2-484d-990e-f8d1d28f2806
Herzig, Nicolas
dfdfb04d-e59f-43b9-b35e-795d53dfbee6
Godaba, Hareesh
787c1482-6a29-43ad-b49e-a6a2b7175f0c
Saha, Dip Kumar
45bef093-bf72-411b-8452-6eeda3ae7d68
Ragab, Dana
964b3fa2-ecf2-484d-990e-f8d1d28f2806
Herzig, Nicolas
dfdfb04d-e59f-43b9-b35e-795d53dfbee6
Godaba, Hareesh
787c1482-6a29-43ad-b49e-a6a2b7175f0c
Saha, Dip Kumar, Ragab, Dana, Herzig, Nicolas and Godaba, Hareesh
(2025)
Stimuli-responsive electrofluidic nervous system for autonomous soft robots.
Advanced Intelligent Systems, [e202500954].
(doi:10.1002/aisy.202500954).
Abstract
Many organisms like earthworms with soft bodies and simple nervous systems can sense and respond to stimuli, conducting complex tasks such as navigation, foraging and transporting objects. However, most soft robots currently require rigid semiconductor-based electronics for sensing and control, limiting the benefits of their soft bodies and posing challenges for integration. To address these limitations, we propose a stimuli-responsive electrofluidic nervous system (SENS) composed of soft materials to realize signal generation, multimodal stimuli-sensing and decision making for multi-actuator soft electroactive robots.
SENS is composed of multiple fluidic switches, which are driven by electroactive actuators and by external stimuli such as force and heat transduced into fluidic movement by sensing receptors. Electrofluidic circuits are created using these switches to achieve self-starting oscillating circuits that control input voltages to actuators and mode-selection units that activate specific oscillating circuits based on applied external stimuli to achieve stimuli-responsive behaviors. Utilizing SENS, we realized a soft crawling robot that can change its direction of motion in response to tactile and heat stimuli. The robot is made of a dielectric elastomer actuator and two electroadhesion actuators. Furthermore, an untethered soft robot has been developed with a miniaturized SENS and an
onboard constant voltage power source, which can exhibit unidirectional motion. This work constitutes a step towards developing electronics-free, entirely soft autonomous robots capable of versatile and adaptive tasks.
Text
Advanced Intelligent Systems - 2025 - Saha - Stimuli‐Responsive Electrofluidic Nervous System for Autonomous Soft Robots
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Accepted/In Press date: 25 October 2025
e-pub ahead of print date: 6 November 2025
Identifiers
Local EPrints ID: 507132
URI: http://eprints.soton.ac.uk/id/eprint/507132
ISSN: 2640-4567
PURE UUID: 5505072a-03db-497c-8c97-2eddb5befdef
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Date deposited: 27 Nov 2025 17:50
Last modified: 28 Nov 2025 03:08
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Author:
Dip Kumar Saha
Author:
Dana Ragab
Author:
Nicolas Herzig
Author:
Hareesh Godaba
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