GRASPion:一个开源的,可编程的脑机器人,用于活性物质研究
F Novkoski1, M Mélard2, M Delens2
1PULS, Institute for Theoretical Physics, FAU Erlangen-Nurnberg, 91058 Erlangen, Germany.
The Review of scientific instruments
|January 22, 2026
概括
我们开发了GRASPion,这是一个负担得起的开源机器人,用于研究活性物质. 这款可编程的布里斯托机器人通过其多功能设计和集成传感器,促进了对复杂行为和失衡物理学的研究.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 活动物质物理学 活动物质物理学
- 失衡系统 失衡系统
背景情况:
- 研究活性物质系统需要可控制和可重复的实验平台.
- 现有的平台可能缺乏模块化,可编程性或可负担性,用于广泛的研究和教育.
研究的目的:
- 介绍GRASPion,一个紧的,开源的bristlebot,旨在进行受控活性物质研究.
- 详细介绍其机械,电子和软件设计,以方便使用和多功能.
- 证明其在模拟活性物质现象方面的能力.
主要方法:
- 设计了一个模块化的bristlebot,使用3D打印部件和Arduino兼容板.
- 集成的双振动电机用于推进和各种传感器 (红外线,颜色,近距离,磁力计).
- 开发了可定制的固件,用于各种运动控制和机载通信.
主要成果:
- 格拉斯皮翁机器人提供可编程的运动控制,从弹道到扩散模式.
- 机载传感器使实时交互和观察集体行为成为可能.
- 原型实验表明了扩散运动,同步和光照的功能.
结论:
- GRASPion是一个强大,可扩展和负担得起的活体物质研究和教育平台.
- 它的开源性质和模块化设计促进了可访问性和进一步开发.
- 机器人有效地促进了在失衡系统中研究复杂的集体行为.
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