通过重编程动态软自愈化学生长,访问多能无人机
Kecheng Qin1, Wei Tang1, Xinyu Guo1
1State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310058, China.
National science review
|May 7, 2025
概括
研究人员开发了一种多能无人机,能够使用一种新的R增长方法生长和收回功能性"器官". 这一创新使无人机能够适应和执行各种任务,克服固定设计的局限性.
科学领域:
- 机器人技术和自主系统
- 材料科学 材料科学 材料科学
- 生物模拟技术是生物模拟的
背景情况:
- 现有的无人机设计具有固定的功能,限制其适应多样化和复杂任务的适应性.
- 生物多能性概念,即细胞可以分化为各种细胞类型,激发了无人机设计的新方法.
研究的目的:
- 引入一种能够进行动态功能适应的多能无人机.
- 通过模块化,可适应的组件,使无人机能够执行更广泛的具有挑战性的任务.
主要方法:
- 开发一种可重编程的动态软自愈化学生长 (R-生长) 方法.
- 设计无人机"器官",可以快速生长,收缩和自我修复 (∼3.2秒).
主要成果:
- 一个大规模 (>1.5米),快速 (0.15米/秒) 和轻量 (∼5克) 的多能无人机系统的演示.
- 实现了无人机组件的快速自我修复,比现有膜快1000倍以上.
- 成功展示了无人机"器官"的生长,收缩和功能切换.
结论:
- R-增长方法使无人机具有前所未有的功能适应性,模仿生物差异化.
- 这项技术显著扩大了无人机的能力,使以前仅限于科幻小说中的任务成为可能.
- 开发的系统为适应性机器人技术的未来进步提供了一个多功能平台.
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