纳米电子支持的储计算硬件用于实时机器人控制
Mingze Chen1, Xiaoqiu An1, Seung Jun Ki1
1Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
Science advances
|March 26, 2025
概括
本研究介绍了一种用于机器人的新型纳米电子模拟控制系统,与传统数字方法相比,显著降低了功耗和复杂性. 这一创新使得微型机器人系统的超低功率边缘计算成为可能.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 纳米电子学纳米电子学
- 材料科学 材料科学 材料科学
背景情况:
- 传统的机器人控制系统面临着由于数字化实施而导致高功耗和复杂性的挑战.
- 复杂的机器人车辆和微型移动机器人的进步需要基于不同的设备物理学的新型控制系统.
研究的目的:
- 为实时机器人控制提供纳米电子支持的模拟控制系统.
- 显著降低机器人控制系统的培训成本,电力消耗和足迹.
- 在微型机器人系统中实现超低功率边缘计算.
主要方法:
- 从分层半导体中使用相互连接的内存通道开发了一个储计算网络.
- 利用网络的非线性切换和短期内存将信号映射到高维数据空间.
- 采用简单训练的读取层来生成电机控制信号,尽量减少软件和模拟到数字转换.
主要成果:
- 实现了实时机器人控制,性能与传统控制器相提并论.
- 显著减少了电力消耗,达到大约10微瓦.
- 成功地将该系统应用于漫游者目标跟踪和无人机杆平衡任务.
结论:
- 纳米电子支持的模拟控制系统为机器人应用提供了高能效的解决方案.
- 这种方法最大限度地降低了硬件和软件的复杂性,为微型机器人广泛采用铺平了道路.
- 开发的系统代表了在自主系统中实现实用的超低功率边缘计算的重要一步.
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