Robotics & Machine Learning Daily News2024,Issue(Nov.18) :29-30.

Researchers from Czech Technical University Report Findings in Robotics and Auto mation (Real-time Planning of Minimum-time Trajectories for Agile Uav Flight)

捷克技术大学的研究人员报告了机器人和自动化(敏捷无人机飞行最短时间轨迹的实时规划)的发现

Robotics & Machine Learning Daily News2024,Issue(Nov.18) :29-30.

Researchers from Czech Technical University Report Findings in Robotics and Auto mation (Real-time Planning of Minimum-time Trajectories for Agile Uav Flight)

捷克技术大学的研究人员报告了机器人和自动化(敏捷无人机飞行最短时间轨迹的实时规划)的发现

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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-机器人新研究-机器人和D自动化是一篇报道的主题.根据NewsRx记者从捷克共和国布拉格发来的新闻报道,研究表明:“我们解决星载多航点最短时间轨迹实时规划问题多旋翼无人机。以前的工作证明,实现真正的时间最优轨迹是通过计算实现的。要求太高,无法在敏捷飞行中频繁更换,特别是在功率较低的飞行中计算机。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Robotics - Robotics an d Automation is the subject of a report.According to news reporting from Prague , Czech Republic, by NewsRx journalists, research stated, “Weaddress the challe nge of real-time planning of minimum-time trajectories over multiple waypoints, onboardmultirotor UAVs. Previous works demonstrated that achieving a truly time -optimal trajectory is computationallytoo demanding to enable frequent replanni ng during agile flight, especially on less powerful flightcomputers.”

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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