空间可编程的原木网络使自主机器人实现高密度的机械计算.
Xinyu Hu1, Ting Tan2, Yinghua Chen3
1State Key Laboratory of Ocean Engineering, Department of Engineering Mechanics, School of Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai, China.
Nature communications
|November 20, 2025
概括
研究人员开发了可重新配置的原木元材料,用于高密度的机械计算. 这项创新增强了机器人的自主性,通过物理重组实现可编程逻辑,克服了以前的局限性.
科学领域:
- 机器人与机械工程 机器人与机械工程
- 材料科学 材料科学 材料科学
- 计算科学 计算科学
背景情况:
- 机械计算为增强机器人自主性提供了直接的计算集成.
- 由于复杂性-多功能性权衡,当前的设计在重新配置和多功能性方面面临限制.
- 现有的系统具有较低的计算密度,并且仅限于单个逻辑操作.
研究的目的:
- 通过开发可重新配置,高密度可编程逻辑系统来克服机械计算的局限性.
- 通过对原始材料的物理重组来实现多功能机械计算.
- 展示该系统在增强机器人自主性和路径规划方面的应用.
主要方法:
- 采用了带有可重新配置导电网络的原木元材料,用于可编程逻辑.
- 通过旋转门内元件来修改布尔级联 (AND/OR) 实现物理重组.
- 采用鲁比克立方体式机制,用于逻辑元素的三轴重新配置 (缓冲器/NOT).
主要成果:
- 通过优化布尔级联实现了与标准数组相比,门的减少46.7%.
- 演示了有效执行算术和比较操作与共享的树状布.
- 达到了1728年的计算密度,具有可重新配置的全增子/减子功能.
- 成功地集成到机器人中用于自主路径规划 (直角和曲线).
结论:
- 开发的框架为高密度机械计算提供了通用和可扩展的设计方法.
- 原始元材料通过物理重组实现可编程逻辑,增强多功能性.
- 这种方法对推进机器人和体内智能的发展有重大影响.
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