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Architecture for the Automatic Generation of Plans for Multiple UAS from a Generic Mission Description

机译:通过通用任务描述自动生成多个UAS计划的体系结构

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摘要

A planning approach for a platform composed of multiple unmanned aerial systems is presented in this paper. The research activities are focused on the interoperability, task allocation and task planning problems within the system. In order to tackle with the interoperability problem between the vehicles of the platform and other external systems, C-BML has been chosen as the standard language to formalize the description of the missions. Regarding the planning problems involved, several planners have been applied to solve them: a task allocation planner to create an initial assignment of tasks to vehicles, a symbolic planner for high-level reasoning and tools for geometric reasoning. The main contribution of the paper is the use of consolidated task planning techniques to automatically generate low-level plans from a mission described in C-BML, filling the gap between interoperability and automatic plan generation for missions where multiple heterogeneous aerial platforms are involved. The approach has been tested in missions involving multiple surveillance and 3D map generation tasks and the paper includes experimental results.
机译:本文提出了一种由多个无人机系统组成的平台的规划方法。研究活动集中于系统内的互操作性,任务分配和任务计划问题。为了解决平台车辆与其他外部系统之间的互操作性问题,已选择C-BML作为标准语言来规范任务描述。关于所涉及的计划问题,已经应用了一些计划程序来解决它们:一个任务分配计划程序,用于创建车辆的初始任务分配;一个用于高级推理的符号计划程序,以及一个用于几何推理的工具。本文的主要贡献是使用合并的任务计划技术从C-BML中描述的任务自动生成低级计划,从而填补了涉及多个异构空中平台的任务的互操作性与自动计划生成之间的空白。该方法已在涉及多个监视和3D地图生成任务的任务中进行了测试,并且本文包括实验结果。

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