摘要
由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员发布了关于计算智能的新报告。根据NewsRx编辑在中华人民共和国北京的新闻报道，研究表明，"近年来，无人平台技术有了重大发展，特别是无人G圆飞行器(UGVs)和无人飞行器(UAVs)"。本研究的资助者包括国家杰出青年人才支持计划；基础科学中心计划。记者从北京理工学院的研究中得到一句话:“因此,它们的应用场景有了很大的扩展,无人平台被认为是物联网系统的组成部分,但在处理特定任务时也会遇到一些挑战。”针对城市低空复杂地形、多障碍物、通信能力有限等问题，提出了一种利用空中优势实现无人平台间间接通信的Messenger无人机机制，并设计了基于采样变换的任务序列规划算法。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on computational intelligence. According to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “In recent years, there has been a si gnificant development in unmanned platform technologies, specifically unmanned g round vehicles (UGVs) and unmanned aerial vehicles (UAVs).” Funders for this research include National Outstanding Youth Talents Support Pro gram; Basic Science Center Programs. The news reporters obtained a quote from the research from Beijing Institute of Technology: “As a result, their application scenarios have expanded considerably . Unmanned platforms are considered integral components of the Internet of Thing s system. However, certain challenges arise when dealing with specialized tasks, such as navigating complex urban low-altitude terrain with multiple obstacles a nd limited communication capabilities. These challenges can greatly impact the e fficiency of the system due to information isolation. To address this issue, a m essenger drone mechanism is introduced in this paper, which utilizes air superio rity to facilitate indirect communication between unmanned platforms. Additional ly, a task sequence planning algorithm based on sampling transformation is desig ned.”
NETL
NSTL