Ultrasound-driven programmable artificial muscles

Muscular systems<sup>1</sup>, the fundamental components of mobility in animals, have sparked innovations across technological and medical fields<sup>2,3</sup>. Yet artificial muscles suffer from dynamic programmability, scalability and responsiveness owing to complex actuation mechanisms and demanding material requirements. Here we introduce a design paradigm for artificial muscles, utilizing more than 10,000 microbubbles with targeted ultrasound activation. These microbubbles are engineered with precise dimensions that correspond to distinct resonance frequencies. When stimulated by a sweeping-frequency ultrasound, microbubble arrays in the artificial muscle undergo selective oscillations and generate distributed point thrusts, enabling the muscle to achieve programmable deformation with remarkable attributes: a high compactness of approximately 3,000 microbubbles per mm<sup>2</sup>, a low weight of 0.047 mg mm<sup>-2</sup>, a substantial force intensity of approximately 7.6 μN mm<sup>-2</sup> and fast response (sub-100 ms during gripping). Moreover, they offer good scalability (from micrometre to centimetre scale), exceptional compliance and many degrees of freedom. We support our approach with a theoretical model and demonstrate applications spanning flexible organism manipulation, conformable robotic skins for adding mobility to static objects and conformally attaching to ex vivo porcine organs, and biomimetic stingraybots for propulsion within ex vivo biological environments. The customizable artificial muscles could offer both immediate and long-term impact on soft robotics, wearable technologies, haptics and biomedical instrumentation.

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Publication Details

Journal
Nature
Published
2025-10-29
DOI
https://doi.org/10.1038/s41586-025-09650-3
Citations
8
Primary Topic
Micro and Nano Robotics
Type
article
Field-Weighted Citation Impact
10.06
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article

Ultrasound-driven programmable artificial muscles

Nitesh Nama, Stephan C. F. Neuhauss, Zhan Shi, Daniel Ahmed et al.
8 citations
Nature
Micro and Nano Robotics
10.06
article

Ultrasound-driven programmable artificial muscles

Nitesh Nama, Stephan C. F. Neuhauss, Zhan Shi, Daniel Ahmed, Raphael Wittkowski, Zhiyuan Zhang, Justus Schnermann
article en
8 citations

Abstract

Muscular systems<sup>1</sup>, the fundamental components of mobility in animals, have sparked innovations across technological and medical fields<sup>2,3</sup>. Yet artificial muscles suffer from dynamic programmability, scalability and responsiveness owing to complex actuation mechanisms and demanding material requirements. Here we introduce a design paradigm for artificial muscles, utilizing more than 10,000 microbubbles with targeted ultrasound activation. These microbubbles are engineered with precise dimensions that correspond to distinct resonance frequencies. When stimulated by a sweeping-frequency ultrasound, microbubble arrays in the artificial muscle undergo selective oscillations and generate distributed point thrusts, enabling the muscle to achieve programmable deformation with remarkable attributes: a high compactness of approximately 3,000 microbubbles per mm<sup>2</sup>, a low weight of 0.047 mg mm<sup>-2</sup>, a substantial force intensity of approximately 7.6 μN mm<sup>-2</sup> and fast response (sub-100 ms during gripping). Moreover, they offer good scalability (from micrometre to centimetre scale), exceptional compliance and many degrees of freedom. We support our approach with a theoretical model and demonstrate applications spanning flexible organism manipulation, conformable robotic skins for adding mobility to static objects and conformally attaching to ex vivo porcine organs, and biomimetic stingraybots for propulsion within ex vivo biological environments. The customizable artificial muscles could offer both immediate and long-term impact on soft robotics, wearable technologies, haptics and biomedical instrumentation.

NatureVol. 646(8087)
University of Nebraska–Lincoln (US), University of Zurich (CH), University of Münster (DE), ETH Zurich (CH), DWI – Leibniz Institute for Interactive Materials (DE), Robotics Research (United States) (US), RWTH Aachen University (DE)
Openalex Percentile: Top 2%
Micro and Nano Robotics
10.06
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