| People | Locations | Statistics |
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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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Terryn, Seppe
Vrije Universiteit Brussel
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (12/12 displayed)
- 2024Designing flexible and self-healing electronics using hybrid carbon black/nanoclay composites based on Diels-Alder dynamic covalent networkscitations
- 2024SMA Wire Use in Hybrid Twisting and Bending/Extending Soft Fiber-Reinforced Actuatorscitations
- 2024Diels-Alder Network Blends as Self-Healing Encapsulants for Liquid Metal-Based Stretchable Electronicscitations
- 2023Fast Self-Healing at Room Temperature in Diels–Alder Elastomerscitations
- 2023Assisted damage closure and healing in soft robots by shape memory alloy wirescitations
- 2023Vitrimeric shape memory polymer-based fingertips for adaptive graspingcitations
- 2023Effect of Secondary Particles on Self-Healing and Electromechanical Properties of Polymer Composites Based on Carbon Black and a Diels–Alder Networkcitations
- 2022Learning-Based Damage Recovery for Healable Soft Electronic Skinscitations
- 2021The Influence of the Furan and Maleimide Stoichiometry on the Thermoreversible Diels–Alder Network Polymerizationcitations
- 2020Self-Healing Material Design and Optimization for Soft Robotic Applications
- 2019Investigation of self-healing actuators for robotics
- 2017Towards the first developments of self-healing soft robotics
Places of action
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document
Towards the first developments of self-healing soft robotics
Abstract
With upcoming new synthetic materials, the importance of polymers in the robotic industry is increasing and smart materials are even exploited, such as shape memory and piezoelectric polymers used in new actuation mechanisms. However, the self-healing material technology has barely made its entrance in the robotics, where self-healing is only known on the software level. This research aims at introducing self-healing polymers in soft robotics. Soft robots are made almost entirely out of flexible, soft elastomers, making them suitable for<br/>applications in uncertain, dynamic task-environments, including safe human-robot interactions. Because of their intrinsic compliance they are resistant to shocks and high mechanical impacts. But being soft, they are very susceptible to damages caused by sharp objects, eg. glass corners, pointy items, etc. We propose to fabricate the flexible membranes of soft robots out of thermos-reversible covalent Diels-Alder (DA) elastomers. Macroscopic damages can be healed, using a heat treatment.