结合的超分子网络使液晶弹性体的温和重编程成为进化机器人的目标
Zhenxing Wang1, Muqing Si1,2, Junyi Han1
1Key Laboratory of Advanced Marine Materials, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, 315201, China.
Angewandte Chemie (International ed. in English)
|October 17, 2024
概括
这项研究引入了一种新的联超分子网络液晶弹性体 (LCE) 软,可重编程的执行器. 这些执行器可以在温和的热量下重新配置,使生物灵感机器人能够完成复杂的任务.
科学领域:
- 材料科学 材料科学 材料科学
- 聚合物化学 聚合物化学
- 机器人技术 机器人技术 机器人技术
背景情况:
- 生物通过结构重编程适应环境,这是海所观察到的特征.
- 液晶弹性体 (LCE) 可以使用热进行重新编程,但高温限制了它们的应用.
- 开发可适应的执行器对于先进的机器人技术至关重要.
研究的目的:
- 创建一个软,模块化和可重编程的执行器,使用一种新的结超分子网络 (LCE).
- 为了使执行器在低于以前可能的温度下重新配置.
- 为了证明这些执行器在生物灵感,可适应的机器人中的潜力.
主要方法:
- 在LCE矩阵中通过迈克尔加法反应与功能化胺单体引入键.
- 利用实验分析和分子动态建模来研究键动态.
- 将LCE模块组装成不同的双层,以实现轻度热处理的变形能力.
主要成果:
- 在60°C时观察到有效的动态键交换,远低于LCE启动温度.
- 该LCE模块表现出可逆和强大的粘附,允许重新配置.
- 开发的LCE使得能够构建能够执行各种任务的模块化可重编程机器人成为可能.
结论:
- 来自结的弱交叉链允许执行器重新配置,克服传统LCE的局限性.
- 这种生物灵感的方法为开发用于复杂环境的智能,可持续的执行器提供了可行的途径.
- 开发的结LCE提供了一个多功能平台,用于创建可适应和可重新配置的机器人系统.
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