Robotics & Machine Learning Daily News2024,Issue(Jun.3) :81-82.

Researchers from Czech Technical University Describe Findings in Robotics and Au tomation (Fast Swarming of Uavs In Gnss-denied Feature-poor Environments Without Explicit Communication)

捷克技术大学的研究人员描述了机器人技术和自动化(无人机在GNSS拒绝的功能差、没有显式通信的环境中快速成群结队)的发现

Robotics & Machine Learning Daily News2024,Issue(Jun.3) :81-82.

Researchers from Czech Technical University Describe Findings in Robotics and Au tomation (Fast Swarming of Uavs In Gnss-denied Feature-poor Environments Without Explicit Communication)

捷克技术大学的研究人员描述了机器人技术和自动化(无人机在GNSS拒绝的功能差、没有显式通信的环境中快速成群结队)的发现

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摘要

由一名新闻记者-机器人和机器学习的工作人员新闻编辑每日新闻-详细的机器人-机器人和自动化数据已经呈现。根据NewsRx记者从捷克布拉格发回的新闻报道,本文提出了一种无人机(UAVs)在无外界定位和通信的恶劣环境下快速协同飞行的分散群方法,并提出了一种新的无人机邻域模型,以实现鲁棒的机载互感知和集群状态反馈控制。WHIC H的设计是为了减少在快速集体运动中使用的标准反应群模型中常见的主体间振荡。这项研究的财政支持来自CTU。我们的新闻记者从捷克技术大学的研究中获得了一句话:“新的群集方法辅之以增强的多机器人状态估计(MRSE)策略,以提高纯机载定位的可靠性,这在实际环境中可能是不可靠的。尽管MR SE和邻域模型可能依赖于agent之间的信息交换,我们引入了一种基于估计通信状态的无通信版本的蜂群框架,以减少对大蜂群经常不可靠的通信网络的依赖。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics - Robotics a nd Automation have been presented. According to news originating from Prague, Cz ech Republic, by NewsRx correspondents, research stated, “A decentralized swarm approach for the fast cooperative flight of Unmanned Aerial Vehicles (UAVs) in f eature-poor environments without any external localization and communication is introduced in this letter. A novel model of a UAV neighborhood is proposed to ac hieve robust onboard mutual perception and flocking state feedback control, whic h is designed to decrease the inter-agent oscillations common in standard reacti ve swarm models employed in fast collective motion.” Financial support for this research came from CTU. Our news journalists obtained a quote from the research from Czech Technical Uni versity, “The novel swarming methodology is supplemented with an enhanced Multi- Robot State Estimation (MRSE) strategy to increase the reliability of the purely onboard localization, which may be unreliable in real environments. Although MR SE and the neighborhood model may rely on information exchange between agents, w e introduce a communication-less version of the swarming framework based on esti mating communicated states to decrease dependence on the often unreliable commun ication networks of large swarms.”

Key words

Prague/Czech Republic/Europe/Robotics and Automation/Robotics/Czech Technical University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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