ETHNOS-a real time programming environment for robotic systems

M. Piaggio
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引用次数: 2

Abstract

A great number of applications for robotic systems and, in particular, for mobile vehicles, require the ability to handle highly dynamic environments such as those typically involving human activity. In order to operate correctly, the systems are subject to many different timing constraints coming from many different sources: hardware, software and human intervention. In embedded systems, these real-time constraints are often dealt with ad hoc solutions that, as a consequence, cannot evolve or be adapted in any way. In contrast to this approach, the author believes that support both at the architectural, programming and operating system level, especially designed for this specific field of applications, is essential to the development of adaptive intelligent robotic systems. The paper tackles this problem, presenting a programming environment called ETHNOS (Expert Tribe in a Hybrid Network Operating System) that has been successfully used to develop autonomous robots operating in civil environments.
ethnos -机器人系统的实时编程环境
机器人系统的大量应用,特别是移动车辆,需要处理高度动态环境的能力,例如那些通常涉及人类活动的环境。为了正确操作,系统受到来自许多不同来源的许多不同的时间限制:硬件、软件和人为干预。在嵌入式系统中,这些实时约束通常由特别的解决方案处理,因此无法以任何方式发展或适应。与此方法相反,作者认为,在架构、编程和操作系统级别上的支持,特别是为这一特定应用领域设计的支持,对于自适应智能机器人系统的开发至关重要。本文解决了这个问题,提出了一个名为ETHNOS(混合网络操作系统中的专家部落)的编程环境,该环境已成功用于开发在民用环境中运行的自主机器人。
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