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Soft magnetic microrobots with remote sensing and communication capabilities

Articolo
Data di Pubblicazione:
2025
Citazione:
Soft magnetic microrobots with remote sensing and communication capabilities / Gao, Q., Kim, M., Von Arx, D., Zhang, E., Zhang, X., Ye, H., Vogt, C., Ehmke, C., Corsino, D., Catania, F., Munzenrieder, N., Magno, M., Cantarella, G., Nelson, B.J., Pane, S.. - In: NATURE COMMUNICATIONS. - ISSN 2041-1723. - 16:1(2025), pp. 10489-1-10489-12. [10.1038/s41467-025-65459-8]
Abstract:
Remote communication in small-scale robotics offers a powerful way to enhance their capabilities, introducing options for state monitoring, multi-agent collaboration, and autonomous operation. Integrating common remote communication tools, such as antennas, into microrobots is challenging with conventional design and manufacturing techniques. We propose a concept that integrates shape-reconfigurable soft microrobots with flexible electronics, leveraging their elastic mechanical properties to enable remote communication. This approach, based on photolithography processes, is scalable and adaptable to various sensing applications. As a proof of concept, we present a microrobot, which integrates a thermoresponsive magnetic hydrogel, an anisotropic support structure, and a flexible dipole antenna into a cohesive three-layered design. The microrobot can morph from a helical shape at low-temperatures to a planar shape at high-temperatures. This shape transformation can be remotely detected by external radio communication receivers, enabling shape-state recognition and environmental temperature sensing. Furthermore, we show that the collective behavior of multiple microrobots enhances the recognition performance by amplifying the signal. The concept represents a significant advancement in co-engineering smart materials and flexible electronics, illustrating an approach of microrobotic embodied intelligence by integrating environmental monitoring, magnetic navigation, and remote signaling.
Tipologia CRIS:
Articolo su rivista
Elenco autori:
Gao, Q.; Kim, M.; Von Arx, D.; Zhang, E.; Zhang, X.; Ye, H.; Vogt, C.; Ehmke, C.; Corsino, D.; Catania, F.; Munzenrieder, N.; Magno, M.; Cantarella, G.; Nelson, B. J.; Pane, S.
Autori di Ateneo:
CANTARELLA Giuseppe
CORSINO DIANNE
ZHANG XIAOMIN
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1418128
Link al Full Text:
https://iris.unimore.it//retrieve/handle/11380/1418128/974135/unpaywall-bitstream-1941059089.pdf
Pubblicato in:
NATURE COMMUNICATIONS
Journal
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