Ultrasound-driven programmable artificial muscles

Nature, vol. 646, pp. 1096–1104

Abstract

Abstract Muscular systems 1 , the fundamental components of mobility in animals, have sparked innovations across technological and medical fields 2,3 . 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 2 , a low weight of 0.047 mg mm −2 , a substantial force intensity of approximately 7.6 μN mm −2 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.

Authors 7

1. Zhan Shi

   ETH Zurich · Institute of Robotics and Intelligent Systems

   Affiliation as printed

   Acoustic Robotics Systems Laboratory, Institute of Robotics and Intelligent Systems, Department of Mechanical and Process Engineering, ETH Zürich, Zurich, Switzerland

2. Zhiyuan Zhang

   ETH Zurich · Institute of Robotics and Intelligent Systems

   Affiliation as printed

   Acoustic Robotics Systems Laboratory, Institute of Robotics and Intelligent Systems, Department of Mechanical and Process Engineering, ETH Zürich, Zurich, Switzerland

3. Justus Schnermann

   University of Münster

   Affiliation as printed

   Institute of Theoretical Physics, Center for Soft Nanoscience, University of Münster, Münster, Germany

4. Stephan C. F. Neuhauss

   University of Zurich

   Affiliation as printed

   Department of Molecular Life Sciences, University of Zürich, Zurich, Switzerland

5. Nitesh Nama

   University of Nebraska–Lincoln

   Affiliation as printed

   Department of Mechanical and Materials Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA

6. Raphael Wittkowski Aachen DWI - Leibniz Institute for Interactive Materials Department of Physics

   University of Münster · DWI – Leibniz Institute for Interactive Materials · RWTH Aachen University

   Affiliation as printed

   DWI - Leibniz Institute for Interactive Materials, Aachen, Germany

   Department of Physics, RWTH Aachen University, Aachen, Germany

   Institute of Theoretical Physics, Center for Soft Nanoscience, University of Münster, Münster, Germany

7. Daniel Ahmed corresponding

   ETH Zurich · Institute of Robotics and Intelligent Systems

   Affiliation as printed

   Acoustic Robotics Systems Laboratory, Institute of Robotics and Intelligent Systems, Department of Mechanical and Process Engineering, ETH Zürich, Zurich, Switzerland. dahmed@ethz.ch

   Acoustic Robotics Systems Laboratory, Institute of Robotics and Intelligent Systems, Department of Mechanical and Process Engineering, ETH Zürich, Zurich, Switzerland