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Updated: Jul 4, 2025

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农场:动物和机器人建模和模拟的框架
Jonathan Arreguit1,2, Shravan Tata Ramalingasetty1,3, Auke Ijspeert1
1BioRob, School of Engineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
bioRxiv : the preprint server for biology
|January 31, 2024
概括
动物和机器人建模和仿真框架 (FARMS) 是一个开源工具,用于研究动物运动和生物灵感的机器人. 它通过提供可访问的建模和模拟功能来增强神经科学,生物力学和机器人学的研究.
科学领域:
- 神经科学是一个神经科学.
- 生物力学 生物力学
- 机器人技术 机器人技术 机器人技术
- 计算生物学 计算生物学
背景情况:
- 了解动物运动和神经机械控制对于神经科学,生物力学和机器人的进步至关重要.
- 现有的研究平台往往对跨学科合作和复杂的建模和模拟任务的可访问性构成障碍.
研究的目的:
- 引入FARMS (动物和机器人建模和仿真框架),一个开源的跨学科框架.
- 为研究人员在模拟,模拟和分析动物运动和生物灵感机器人系统方面降低障碍.
- 促进神经科学家,生物学家和机器人学家之间的合作.
主要方法:
- 开发一个名为FARMS的开源,用户友好的框架.
- 整合了MuJoCo物理引擎,用于实现现实的模拟.
- 模块化设计以满足各种研究需求.
主要成果:
- 农场为研究神经机械控制和运动提供了一个可访问的平台.
- 该框架已成功应用于各种动物 (老鼠,,鱼,,千足) 的运动模型.
- 农场促进了中央模式生成器和运动中的感觉反的调查.
结论:
- 农场对更深入地了解动物运动和神经机械原理做出了重大贡献.
- 该框架支持开发创新的生物灵感机器人系统.
- 农场促进在神经机械研究领域的可访问性和跨学科合作.
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