Leveraging active queries in collaborative robotic mission planning

Cyrille Berger, Patrick Doherty, P. Rudol, M. Wzorek
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Abstract

This paper focuses on the high-level specification and generation of 3D models for operational environments using the idea of active queries as a basis for specifying and generating multi-agent plans for acquiring such models. Assuming an underlying multi-agent system, an operator can specify a request for a particular type of model from a specific region by specifying an active query. This declarative query is then interpreted and executed by collecting already existing data/information in agent systems or, in the active case, by automatically generating high-level mission plans for agents to retrieve and generate parts of the model that do not already exist. The purpose of an active query is to hide the complexity of multi-agent mission plan generation, data transformations, and distributed collection of data/information in underlying multi-agent systems. A description of an active query system, its integration with an existing multi-agent system and validation of the active query system in field robotics experimentation using Unmanned Aerial Vehicles and simulations are provided.
在协作机器人任务规划中利用主动查询功能
本文的重点是利用主动查询的思想,在指定和生成获取三维模型的多代理计划的基础上,为操作环境指定和生成高层次的三维模型。假定有一个底层的多代理系统,操作员可以通过指定一个主动查询来说明对来自特定区域的特定类型模型的请求。然后,通过收集代理系统中已有的数据/信息来解释和执行这一声明式查询,或者,在主动查询的情况下,自动为代理生成高级任务计划,以检索和生成模型中尚未存在的部分。主动查询的目的是隐藏底层多代理系统中多代理任务计划生成、数据转换和分布式数据/信息收集的复杂性。本文介绍了主动查询系统、该系统与现有多代理系统的集成,以及主动查询系统在使用无人驾驶飞行器和模拟进行的现场机器人实验中的验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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