Bioinspired ultrasound-driven ultrafast soft microgripper
Abstract
Understanding how acoustic waves interact with soft matter is critical for developing new strategies for dynamic control, actuation, sensors, and manipulation at small scales. A major challenge in soft matter and microrobotics is how to achieve fast, precise, and remotely controlled actuation at the microscale without sacrificing compliance or biocompatibility. Here, we introduce wireless artificial microcilia based on acoustically activated soft hydrogel microstructures inspired by Venus flytrap and vorticella . The structures, termed SonoGrippers, consist of dual microcilia (≤120 µm length) with outward-facing sharp tips. Upon acoustic excitation, SonoGrippers deliver ultrafast (~2 ms), reversible, and controllable actuation, enabling remote attraction, gripping, and release of objects. By tuning structural designs and acoustic parameters, SonoGrippers exhibit diverse deformation modes and tunable response dynamics, allowing adaptable gripping performance across various application scenarios. Proof-of-concept demonstrations with stationary and mobile biological samples confirm their robust functionality. Combining simple fabrication, additive-free operation, wireless rapid control, and biocompatibility, SonoGrippers provide a promising platform toward next-generation biomedical manipulation, soft microrobotics, and bioengineering applications.
Article Details
Journal Info
Proceedings of the National Academy of Sciences
National Academy of Sciences
Authors (12)
Chengxi Zhong
Acoustic Robotics Systems Lab, Institute of Robotics and Intelligent Systems, Department of Mechanical and Process Engineering, ETH Zurich
Vincent Winderoll
Acoustic Robotics Systems Lab, Institute of Robotics and Intelligent Systems, Department of Mechanical and Process Engineering, ETH Zurich
Khemraj Gautam Kshetri
Department of Mechanical and Materials Engineering, University of Nebraska-Lincoln
Cornel Dillinger
ARTORG Center for Biomedical Engineering Research, University of Bern
Tommaso Bianchi
Acoustic Robotics Systems Lab, Institute of Robotics and Intelligent Systems, Department of Mechanical and Process Engineering, ETH Zurich
Zhan Shi
Justus Schnermann
Marco Amabili
School of Engineering, Westlake University
Song Liu
Raphael Wittkowski
Nitesh Nama
Daniel Ahmed