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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Rossiter, Jonathan M.
University of Bristol
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (34/34 displayed)
- 2024Soft alchemycitations
- 2024Soft alchemy:a comprehensive guide to chemical reactions for pneumatic soft actuationcitations
- 2023Robotic Fish driven by Twisted and Coiled Polymer Actuators at High Frequencies
- 2023Electric Field-Driven Dielectrophoretic Elastomer Actuatorscitations
- 2022Reactive Jetting of High Viscosity Nanocomposites for Dielectric Elastomer Actuationcitations
- 2022Reactive Jetting of High Viscosity Nanocomposites for Dielectric Elastomer Actuationcitations
- 2021Liquid metal logic for soft roboticscitations
- 2021B:Ionic Glove: A Soft Smart Wearable Sensory Feedback Device for Upper Limb Robotic Prosthesescitations
- 2021B:Ionic Glove: A Soft Smart Wearable Sensory Feedback Device for Upper Limb Robotic Prosthesescitations
- 2019Lighting up soft roboticscitations
- 2019Pellicular Morphing Surfaces for Soft Robotscitations
- 2019Electroactive textile actuators for breathability control and thermal regulation devicescitations
- 2019A soft matter computer for soft robotscitations
- 2019Thermoplastic electroactive gels for 3D-printable artificial musclescitations
- 2019Tiled Auxetic Cylinders for Soft Robotscitations
- 2018Electroactive textile actuators for wearable and soft robotscitations
- 2018Towards electroactive gel artificial muscle structurescitations
- 2017Respiratory Simulator for Robotic Respiratory Tract Treatments
- 2017Robotics, Smart Materials, and Their Future Impact for Humans
- 2016Biomimetic photo-actuationcitations
- 2015Hiding the squid:patterns in artificial cephalopod skincitations
- 2015Hiding the squidcitations
- 2015Modelling and analysis of pH responsive hydrogels for the development of biomimetic photo-actuating structurescitations
- 2015A compliant soft-actuator laterotactile displaycitations
- 2014Thermal response of novel shape memory polymer-shape memory alloy hybridscitations
- 2014Hydrogel core flexible matrix composite (H-FMC) actuatorscitations
- 2014Kirigami design and fabrication for biomimetic roboticscitations
- 2014Shape memory polymer hexachiral auxetic structures with tunable stiffnesscitations
- 2014Assessment of Biodegradable Materials for Next Generation of Artificial Muscles
- 2014Biomimetic photo-actuation: sensing, control and actuation in sun-tracking plantscitations
- 2012Curved Type Pneumatic Artificial Rubber Muscle Using Shape-Memory Polymer
- 2012Bioinspired Control of Electro-Active Polymers for Next Generation Soft Robotscitations
- 2012Smart Radially Folding Structurescitations
- 2012Design of a deployable structure with shape memory polymerscitations
Places of action
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article
Liquid metal logic for soft robotics
Abstract
While there are many soft matter sensing and actuation technologies, there is far less choice when it comes to soft material devices for control and computation. One solution is the Soft Matter Computer (SMC) which can perform both analogue and digital computations in soft materials. This computer processes a fluidic input pattern, consisting of alternating regions of conducting and insulating fluids into an electronic output signal. However, the use of salt water as the conductive fluid means that the Soft Matter Computer has high electrical resistance and requires an AC voltage, making untethered operation impractical. In this paper, we introduce the liquid metal Soft Matter Computer (LM-SMC), which uses galinstan as an alternative conductive fluid. We show that by switching to a liquid metal-sodium hydroxide fluidic input, we reduce the electrical resistance of the SMC by three orders of magnitude, allowing operation at DC voltages of 2 Volts and under. We characterise the stability of the liquid metal input patterns and demonstrate the potential of the LM-SMC by using it to control bipolar ionic polymer metal composite and shape memory alloy actuators. By enabling fully soft computation and control of multiple actuators from a single low voltage DC source, the LM-SMC enables a new class of intelligent and untethered soft machines.