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Reconfigurable artificial microswimmers with internal feedback

Laura Alvarez, Miguel Ángel Fernández-Rodríguez, Ángel Alegría, S. Arrese-Igor, Kai Zhao, Martin Kröger, Lucio Isa

2021Repository for Publications and Research Data (ETH Zurich)57 citationsDOIOpen Access PDF

Abstract

Abstract Self-propelling microparticles are often proposed as synthetic models for biological microswimmers, yet they lack the internally regulated adaptation of their biological counterparts. Conversely, adaptation can be encoded in larger-scale soft-robotic devices but remains elusive to transfer to the colloidal scale. Here, we create responsive microswimmers, powered by electro-hydrodynamic flows, which can adapt their motility via internal reconfiguration. Using sequential capillary assembly, we fabricate deterministic colloidal clusters comprising soft thermo-responsive microgels and light-absorbing particles. Light absorption induces preferential local heating and triggers the volume phase transition of the microgels, leading to an adaptation of the clusters’ motility, which is orthogonal to their propulsion scheme. We rationalize this response via the coupling between self-propulsion and variations of particle shape and dielectric properties upon heating. Harnessing such coupling allows for strategies to achieve local dynamical control with simple illumination patterns, revealing exciting opportunities for developing tactic active materials.

Topics & Concepts

Control reconfigurationPropulsionNanotechnologyAdaptation (eye)Computer scienceCoupling (piping)Soft roboticsBiological systemMaterials sciencePhysicsActuatorArtificial intelligenceBiologyOpticsThermodynamicsMetallurgyEmbedded systemMicro and Nano RoboticsMicrofluidic and Bio-sensing TechnologiesModular Robots and Swarm Intelligence
Reconfigurable artificial microswimmers with internal feedback | Litcius