Automated fiber switch with path verification enabled by an AI-powered multi-task mobile robot

IF 4 2区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Xiaonan Xu;Haoshuo Chen;Michael Scheutzow;Jesse E. Simsarian;Roland Ryf;Gin Qua;Amey Hande;Rob Dinoff;Mijail Szczerban;Mikael Mazur;Lauren Dallachiesa;Nicolas K. Fontaine;Jim Sandoz;Mike Coss;David T. Neilson
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引用次数: 0

Abstract

As the capacity of optical transport networks undergoes significant growth, there is an ongoing discussion on how to effectively leverage both spectral and spatial degrees of freedom to scale future network capacity. This paper presents an artificial intelligence (AI)-powered multi-task robot comprising a collaborative robotic arm and a mobile robotic base designed for optical network automation. The robot demonstrates the capability of direct fiber switching, establishing static fiber links that consume zero power and have minimal insertion loss from fiber connectors. As a precautionary measure before physically switching fiber cables, the robot performs path verification by detecting robot-driven events using real-time coherent receivers, aiming to avoid accidental unplugging. Additionally, the robot showcases its mobility by efficiently navigating between different network racks and rooms while executing various tasks. Implementing the automation of network operations using robots has the potential to reduce both capital and operational expenditures.
20 由人工智能驱动的多任务移动机器人实现的具有路径验证功能的自动光纤开关
随着光传输网络容量的大幅增长,人们一直在讨论如何有效利用频谱和空间自由度来扩展未来的网络容量。本文介绍了一种人工智能(AI)驱动的多任务机器人,包括一个协作机械臂和一个移动机器人底座,设计用于光网络自动化。该机器人展示了直接光纤交换的能力,建立了零功耗、光纤连接器插入损耗最小的静态光纤链路。作为物理切换光纤电缆前的预防措施,机器人利用实时相干接收器检测机器人驱动的事件,进行路径验证,以避免意外拔插。此外,机器人在执行各种任务时,还能在不同的网络机架和机房之间高效导航,充分展示了其移动性。使用机器人实现网络操作自动化有可能减少资本和运营支出。
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来源期刊
CiteScore
9.40
自引率
16.00%
发文量
104
审稿时长
4 months
期刊介绍: The scope of the Journal includes advances in the state-of-the-art of optical networking science, technology, and engineering. Both theoretical contributions (including new techniques, concepts, analyses, and economic studies) and practical contributions (including optical networking experiments, prototypes, and new applications) are encouraged. Subareas of interest include the architecture and design of optical networks, optical network survivability and security, software-defined optical networking, elastic optical networks, data and control plane advances, network management related innovation, and optical access networks. Enabling technologies and their applications are suitable topics only if the results are shown to directly impact optical networking beyond simple point-to-point networks.
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