Scholarlink

<p>Soft millirobot has attracted significant attention and demonstrated tremendous potential in human-robot interactions and safety inspections. Locomotion and perception are two crucial features for achieving effective gait and practical applications of robots. Inspired by nature, this research reports a magnetic soft millirobot that integrates locomotion and sensing capacities simultaneously. Microconical matrix with rich and regular surface morphologies are constructed directly inside the millirobot as both multilegged and triboelectric-enhanced sensing structures via cooperation of jet printing and magnetization-induction method with high-speed and high-precision. The robot can both recognize its current body state across various application scenarios and identify terrains through a machine learning strategy. Our work presents a customizable approach for smart millirobots to perform tasks in nonmagnetic structured environments and provides embedded sensing capability for next-generation soft robots.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Magnetic soft millirobot with simultaneous locomotion and sensing capability

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月15日

查看全文
  • Weihong Zeng,
  • Xinrui Ding,
  • Yuan Jin,
  • Bin Liu,
  • Runhao Zeng,
  • Feng Gong,
  • Yan Lou,
  • Lelun Jiang,
  • Hui Li

摘要

Soft millirobot has attracted significant attention and demonstrated tremendous potential in human-robot interactions and safety inspections. Locomotion and perception are two crucial features for achieving effective gait and practical applications of robots. Inspired by nature, this research reports a magnetic soft millirobot that integrates locomotion and sensing capacities simultaneously. Microconical matrix with rich and regular surface morphologies are constructed directly inside the millirobot as both multilegged and triboelectric-enhanced sensing structures via cooperation of jet printing and magnetization-induction method with high-speed and high-precision. The robot can both recognize its current body state across various application scenarios and identify terrains through a machine learning strategy. Our work presents a customizable approach for smart millirobots to perform tasks in nonmagnetic structured environments and provides embedded sensing capability for next-generation soft robots.