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Knowledge representation and unmanned aerial vehicles

机译:知识表示和无人机

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Knowledge representation technologies play a fundamental role in any autonomous system that includes deliberative capability and that internalizes models of its internal and external environments. Integrating both high- and low-end autonomous functionality seamlessly in autonomous architectures is currently one of the major open problems in robotics research. UAVs offer especially difficult challenges in comparison with ground robotic systems due to the often tight time constraints and safety considerations that must be taken into account. This article provides an overview of some of the knowledge representation technologies and deliberative capabilities developed for a fully deployed autonomous unmanned aerial vehicle system to meet some of these challenges.
机译:知识表示技术在任何自治系统中发挥着基本作用,包括审议能力,内部内容内部和外部环境的模型。在自治架构中无缝地整合高端和低端自主功能,目前是机器人研究中的主要开放问题之一。与常用的时间限制和安全考虑因素相比,无人机提供特别困难的挑战,与地面机器人系统相比,必须考虑到必须考虑的时间限制和安全考虑因素。本文概述了一些知识表示技术和审议能力,为全面部署的自主无人驾驶空中车辆系统开发,以满足这些挑战中的一些挑战。

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