低延迟边缘启用数字双胞胎系统用于多机器人避免碰撞和远程控制
Daniel Poul Mtowe1, Lika Long1, Dong Min Kim1,2
1Department of ICT Convergence, Graduate School, Soonchunhyang University, Asan 31538, Republic of Korea.
Sensors (Basel, Switzerland)
|August 14, 2025
概括
本研究介绍了一种边缘启用数字双胞胎网络控制系统 (E-DTNCS),用于避免多机器人碰撞. 新架构显著降低了延迟,并改善了动态环境中的实时控制.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统工程 控制系统工程
- 边缘计算 边缘计算
- 数字双胞胎技术的数字双胞胎技术
背景情况:
- 传统的多机器人控制系统由于网络延迟,带宽限制和缺乏预测能力而面临限制.
- 集中式云处理和直接的传感器到控制器通信阻碍了动态环境中的实时性能.
研究的目的:
- 为边缘启用数字双胞胎网络控制系统 (E-DTNCS) 提出一个低延迟和可扩展的架构.
- 为了提高多机器人避免碰撞和远程控制在延迟敏感的应用程序.
主要方法:
- 边缘计算的集成用于本地化数据预处理和特征提取.
- 利用数字双胞胎 (DT) 技术进行高保真同步和预测建模.
- 开发一个现实世界的测试台,使用多个移动机器人进行实证验证.
主要成果:
- 随着数字双胞胎 (DT) 的部署,观察到碰撞率的显著降低.
- 由于降低了延迟时间,通过E-DTNCS集成实现了响应能力和避免碰撞的进一步改进.
- 在处理多机器人系统的实时控制任务方面表现出有效性.
结论:
- 拟议的E-DTNCS框架有效地结合了边缘智能和DT驱动的控制.
- 这种方法提高了多机器人系统的可靠性,可扩展性和实时性能.
- 该框架具有工业自动化和网络物理应用的潜力.
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