Soft magnetic microrobots with remote sensing and communication capabilities
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.
Authors
- Bradley J. Nelson (ORCID: https://orcid.org/0000-0001-9070-6987)
- Salvador Pané (ORCID: https://orcid.org/0000-0003-0147-8287)
- Elric Zhang (ORCID: https://orcid.org/0000-0003-1681-5573)
- Christian Vogt (ORCID: https://orcid.org/0000-0003-4551-4876)
- Niko Münzenrieder (ORCID: https://orcid.org/0000-0003-4653-5927)
- Denis von Arx (ORCID: https://orcid.org/0009-0004-0432-3007)
- Giuseppe Cantarella (ORCID: https://orcid.org/0000-0002-6398-601X)
- Dianne Corsino (ORCID: https://orcid.org/0000-0001-6682-9290)
- Michele Magno (ORCID: https://orcid.org/0000-0003-0368-8923)
- Federica Catania (ORCID: https://orcid.org/0000-0002-0443-5197)
- X. Zhang
- Claas Ehmke (ORCID: https://orcid.org/0000-0002-0618-5945)
- Min‐Soo Kim (ORCID: https://orcid.org/0000-0002-3478-1277)
- Hao Ye (ORCID: https://orcid.org/0000-0003-3526-9627)
- Quan Gao (ORCID: https://orcid.org/0000-0003-1383-842X)
Institutions
- University of Modena and Reggio Emilia (IT)
- Free University of Bozen-Bolzano (IT)
- ETH Zurich (CH)
- Istituto Nanoscienze (IT)
- Robotics Research (United States) (US)
Publication Details
- Journal
- Nature Communications
- Published
- 2025-11-25
- DOI
- https://doi.org/10.1038/s41467-025-65459-8
- Citations
- 1
- Primary Topic
- Micro and Nano Robotics
- Type
- article
- Field-Weighted Citation Impact
- 1.26
Funders
- National Science Foundation
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung