嵌入人工智能的多模式灵活的电子机器人,具有可编程的传感,执行和自学能力
Junfeng Li1, Zhangyu Xu2, Nanpei Li1
1School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan, China.
Nature communications
|October 3, 2025
概括
这项研究介绍了能够进行先进的环境交互的新型灵活电子机器人. 这些机器人表现出增强的适应能力,感知能力和自主决策能力,能够完成复杂的任务.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 材料科学 材料科学 材料科学
- 人工智能的人工智能
背景情况:
- 小规模软机器人在环境交互方面面临挑战,包括地形适应性,感知和自主决策.
- 现有的软机器人平台往往缺乏集成的传感,执行和计算能力,以实现强大的环境参与.
研究的目的:
- 为具有增强环境智能的小型软机器人引入新的框架.
- 开发灵活的电子机器人,能够在各种环境中实现多式联动和适应性行为.
主要方法:
- 使用可编程灵活电子元件和 setae 模块构建的机器人.
- 集成的多式传感器 (自传感和外传感) 和使用嵌入式计算的执行.
- 应用模块化设计来配置拓,执行和电路,通过嵌入式AI实现自主决策.
主要成果:
- 实现多式交通,包括垂直地表穿越,方向控制和障碍物导航.
- 实现了全面的自身感受和外感受,用于动态状态监控.
- 通过自适应性决策表现出自主行为,如避开危险和跟踪热梯度等.
结论:
- 开发的集成平台增强了小型软机器人的环境智能.
- 模块化设计和嵌入式AI框架使适应性操作和自主决策成为可能.
- 这项工作为创建具有卓越环境交互能力的复杂软机器人奠定了基础.
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