Muscle-inspired elasto-electromagnetic mechanism in autonomous insect robots.

Journal: Nature communications
Published Date:

Abstract

In nature, the dynamic contraction and relaxation of muscle in animals provide the essential force and deformation necessary for diverse locomotion, enabling them to navigate and overcome environmental challenges. However, most autonomous robotic systems still rely on conventional rigid motors, lacking the adaptability and resilience of muscle-like actuators. Existing artificial muscles, while promising for soft actuation, often require demanding operational conditions that hinder their use in onboard-powered small autonomous systems. In this work, we present the Elasto-Electromagnetic mechanism, an electromagnetic actuation strategy tailored for soft robotics. By structuring simple elastomeric materials, this mechanism mimics key features of biological muscle contraction and optimizes actuation properties. It achieves significant output force (~210 N/kg), large contraction ratio (up to 60%), rapid response (60 Hz), and low-voltage operation (<4 volts) within a robust, miniaturized framework. It also enhances energy efficiency by maintaining stable states without continuous power input, similar to catch muscles in mollusks. The resulting insect-scale soft robots, therefore, demonstrate adaptive crawling, swimming, and jumping, autonomously navigating open-field environments. This muscle-inspired electromagnetic mechanism, facilitated by elastic structural variations, expands the autonomy and functional capabilities of small-scale soft robots, with potential applications in rescue and critical signal detection.

Authors

  • Changyu Xu
    School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore.
  • Yajun Cao
    School of Engineering, Westlake University, Hangzhou, Zhejiang, China.
  • Jingyang Zhao
    Department of Energy Engineering, Zhejiang University, Hangzhou, Zhejiang, 310027, China.
  • Yujia Cao
    School of Computer Science, Hubei University, No. 368 Youyi Road, 430062 Wuhan, China.
  • Yi Huang
    Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China.
  • Yangyi Lin
    School of Engineering, Westlake University, Hangzhou, Zhejiang, China.
  • Dong Wang
    Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China.
  • Zhuang Zhang
    Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan City, Shanxi Province, China.
  • Hanqing Jiang
    School of Engineering, Westlake University, Hangzhou, Zhejiang 310030, China.