Soft magnetic microrobots with remote sensing and communication capabilities

Q Quan Gao (School of Plant Protection) M Minsoo Kim D Denis von Arx E Elric Zhang X Xinzhi Zhang H Hao Ye C Christian Vogt C Claas Ehmke D Dianne Corsino F Federica Catania N Niko Münzenrieder M Michele Magno G Giuseppe Cantarella B Bradley J. Nelson (Multi-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zürich, Tannenstrasse 3, Zürich CH-8092, Switzerland) S Salvador Pané (Multi-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zürich, Tannenstrasse 3, Zürich CH-8092, Switzerland)

Abstract

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.

Article Details

Volume / Issue Vol. 16, Issue 1
Published November 25, 2025
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (15)

Q

Quan Gao

School of Plant Protection

M

Minsoo Kim

D

Denis von Arx

E

Elric Zhang

X

Xinzhi Zhang

H

Hao Ye

C

Christian Vogt

C

Claas Ehmke

D

Dianne Corsino

F

Federica Catania

N

Niko Münzenrieder

M

Michele Magno

G

Giuseppe Cantarella

B

Bradley J. Nelson

Multi-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zürich, Tannenstrasse 3, Zürich CH-8092, Switzerland

S

Salvador Pané

Multi-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zürich, Tannenstrasse 3, Zürich CH-8092, Switzerland