Robotics & Machine Learning Daily News2024,Issue(Nov.18) :65-65.

Findings from King’s College London in Machine Learning Reported (Goal-oriented Uav Communication Design and Optimization for Target Tracking: a Machine Learnin g Approach)

伦敦国王学院的机器学习发现报告(目标导向无人机通信设计和目标跟踪优化:机器学习方法)

Robotics & Machine Learning Daily News2024,Issue(Nov.18) :65-65.

Findings from King’s College London in Machine Learning Reported (Goal-oriented Uav Communication Design and Optimization for Target Tracking: a Machine Learnin g Approach)

伦敦国王学院的机器学习发现报告(目标导向无人机通信设计和目标跟踪优化:机器学习方法)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布马学习新报告。根据新闻报道由NewsRx记者发起于英国伦敦,Research称,“为了完成各种不同的任务。”(UAVs)无人机的任务、安全、平稳控制需要得到保证,而这是无法保证的通过现有超可靠的低延迟通信(URLLC)来满足。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingoriginating in London, United Kingdo m, by NewsRx journalists, research stated, “To accomplish varioustasks, safe an d smooth control of unmanned aerial vehicles (UAVs) needs to be guaranteed, whic h cannotbe met by existing ultra-reliable low latency communications (URLLC).”

Key words

London/United Kingdom/Europe/Cyborgs/Emerging Technologies/Machine Learning/King’s College London

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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