通过集成磁性人工肌肉和粘合结构来稳定处理表面形态不明的物体
Fengxia Liu1,2, Dajun Zhang3, Huimin Zhu1
1Micro-and Nano-technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Microsystems & nanoengineering
|August 27, 2025
概括
这项研究介绍了一种灵感来自的粘合膜, 它可以确保安全的抓取和释放,而不需要表面细节,克服当前虫粘合剂的局限性.
科学领域:
- 机器人和材料科学
- 仿生学和粘附技术
背景情况:
- 传统的操纵方法面临着各种表面形态的挑战.
- 现有的灵感粘合剂在与其设计的粘合类型不同的表面上经常失败.
- 适应未知的表面纹理仍然是灵感的粘合技术的一个重大障碍.
研究的目的:
- 开发一种智能粘合膜,能够对未知表面形态的物体进行自适应操作.
- 在处理各种表面质感方面克服当前灵感粘合剂的局限性.
- 创建一个强大的粘附策略来抓住和转移物体,而没有先前的表面特征.
主要方法:
- 拟议的智能粘合膜将磁性人工肌肉与微型形结构相结合.
- 磁场控制使薄膜能够与表面接触,无论表面的形状如何 (平坦/曲,光滑/粗).
- 该系统在没有复杂的传感器或图像识别进行表面分析的情况下实现粘附和释放.
主要成果:
- 智能粘合膜成功地抓住,转移和释放具有未知的表面形态的物体.
- 即使磁场突然被移除,粘合力也保持稳定,防止物体掉落.
- 这部电影展示了不同表面的形接触, 展示了适应性操纵能力.
结论:
- 开发的智能粘合膜显著扩展了以为灵感的粘合剂的适用性到未知和多样化的表面形态.
- 这一创新为开发灵感来自的先进粘合剂设备和机器人和操纵系统提供了新的途径.
- 适应性粘附策略为在非结构化环境中处理各种物体提供了强大的解决方案.
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