当前位置: X-MOL 学术Robotica › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
ARCog: An Aerial Robotics Cognitive Architecture
Robotica ( IF 2.7 ) Pub Date : 2020-07-16 , DOI: 10.1017/s0263574720000521
Milena F. Pinto , Leonardo M. Honório , Andre L. M. Marcato , Mario A. R. Dantas , Aurelio G. Melo , Miriam Capretz , Cristina Urdiales

SUMMARYEfficient algorithm integration is a key issue in aerial robotics. However, only a few integration solutions rely on a cognitive approach. Cognitive approaches break down complex problems into independent units that may deal with progressively lower-level data interfaces, all the way down to sensors and actuators. A cognitive architecture defines information flow among units to produce emergent intelligent behavior. Despite the improvements in autonomous decision-making, several key issues remain open. One of these issues is the selection, coordination, and decision-making related to the several specialized tasks required for fulfilling mission objectives. This work addresses decision-making for the cognitive unmanned-aerial-vehicle architecture coined as ARCog. The proposed architecture lays the groundwork for the development of a software platform aligned with the requirements of the state-of-the-art technology in the field. The system is designed to provide high-level decision-making. Experiments prove that ARCog works correctly in its target scenario.

中文翻译:

ARCog:一种空中机器人认知架构

摘要高效的算法集成是空中机器人技术的关键问题。然而,只有少数集成解决方案依赖于认知方法。认知方法将复杂的问题分解为独立的单元,这些单元可以处理逐渐降低级别的数据接口,一直到传感器和执行器。认知架构定义单元之间的信息流以产生紧急智能行为。尽管自主决策有所改进,但仍有几个关键问题悬而未决。其中一个问题是与完成任务目标所需的几项专门任务相关的选择、协调和决策。这项工作解决了被称为 ARCog 的认知无人机架构的决策。所提出的架构为开发符合该领域最先进技术要求的软件平台奠定了基础。该系统旨在提供高级决策。实验证明 ARCog 在其目标场景中正常工作。
更新日期:2020-07-16
down
wechat
bug