云机器人实验试验台:基于云的导航案例研究

R. Mello, Sergio D. Sierra, M. Múnera, C. Cifuentes, Moisés R. N. Ribeiro, A. Frizera-Neto
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引用次数: 7

摘要

云机器人有望在工业4.0自动化过程中发挥重要作用。然而,云机器人的研究仍然缺乏对实施问题和标准化的全面分析。为云机器人设计的实验测试平台可以通过提供一系列解决方案来加速研究,同时减轻研究人员实施整个云机器人堆栈的工作量。在这项工作中,我们提出了一个基于云机器人测试平台基础设施的案例研究,在该基础设施中,我们为自主无人地面车辆(ugv)实现了基于云的实时自主导航服务。距离云平台4600公里的UGV利用这种服务在其环境中导航,将几乎所有的计算委托给云。结果表明了现实世界云机器人实现的可行性,我们讨论了这种方法的挑战和好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cloud Robotics Experimentation Testbeds: a Cloud-Based Navigation Case Study
Cloud robotics is expected to play an important role in Industry 4.0 automation processes. Nevertheless, cloud robotics research still lacks comprehensive analysis on implementation issues and standardization. Experimentation testbeds designed for cloud robotics may accelerate research by providing a range of solutions while relieving researchers from implementing the whole cloud robotics stack. In this work, we present a case study over a cloud robotics testbed infrastructure in which we implement a cloud-based real-time autonomous navigation service for autonomous unmanned ground vehicles (UGVs). An UGV located 4600 km away from the cloud platform makes use of such service to navigate throughout its environment, delegating to the cloud almost all computation. Results indicate the feasibility of real world cloud robotics implementations and we discuss the challenges and benefits of such approach.
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