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Real-world issues in warehouse navigation

机译:仓库导航中的实际问题

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Abstract: The MDARS security robotics program has successfully demonstrated the simultaneous control of multiple robots autonomously navigating within an industrial warehouse environment. This real-world warehouse system installation required adapting a navigational paradigm designed for highly structured environments such as office corridors (with smooth walls and regularly spaced doorways) to a semi-structured warehouse environment (with few walls and within which odd-shaped objects unpredictably move about from day to day). A number of challenges, some expected and others unexpected, were encountered during this transfer of the system to the test/demonstration site. This paper examines these problems (and others previously encountered) in the historical context of the ongoing development of the navigation and other technologies needed to support the operations of a security robotic system, and the evolution of these technologies from the research lab to an operational warehouse environment. A key lesson is that a system's robustness can only be ensured by exercising its capabilities in a number of diverse operating environments, in order to (1) uncover latent system hardware deficiencies and software implementation errors not manifested in the initial system hardware or initial development environment; and (2) identify sensor modes or processing algorithms tuned too tightly to the specific characteristics of the initial development environment.!12
机译:摘要:MDARS安全机器人程序已成功演示了在工业仓库环境中自动导航的多个机器人的同时控制。这种实际的仓库系统安装要求将导航范例设计用于高度结构化的环境,例如办公室走廊(具有光滑的墙壁和规则间隔的门口),以适应半结构化的仓库环境(具有很少的墙壁并且奇形异形的物体在其中无法移动)大约每天)。在将系统转移到测试/演示站点期间,遇到了许多挑战,其中一些是预期的,而另一些则是意外的。本文在导航和支持安全机器人系统操作所需的其他技术的持续发展的历史背景下,研究了这些问题(以及以前遇到的其他问题),以及这些技术从研究实验室到运营仓库的演进。环境。关键的教训是,只有通过在许多不同的操作环境中行使其能力,才能确保系统的健壮性,以便(1)发现潜在的系统硬件缺陷和软件实现错误,这些缺陷并没有体现在初始系统硬件或初始开发环境中; (2)识别与初始开发环境的特定特征过于紧密相关的传感器模式或处理算法。!12

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