Robotics & Machine Learning Daily News2024,Issue(Nov.8) :48-49.

Studies from Beijing Institute of Technology Yield New Data on Robotics [Optimal Trajectory Planning for Wheeled Robots (OTPWR): A Globally and Dynamical ly Optimal Trajectory Planning Method for Wheeled Mobile Robots]

北京理工学院的研究获得了关于机器人学[轮式机器人的最优轨迹规划(OTPWR)。全局动态ly最优轨迹规划轮式移动机器人的方法

Robotics & Machine Learning Daily News2024,Issue(Nov.8) :48-49.

Studies from Beijing Institute of Technology Yield New Data on Robotics [Optimal Trajectory Planning for Wheeled Robots (OTPWR): A Globally and Dynamical ly Optimal Trajectory Planning Method for Wheeled Mobile Robots]

北京理工学院的研究获得了关于机器人学[轮式机器人的最优轨迹规划(OTPWR)。全局动态ly最优轨迹规划轮式移动机器人的方法

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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新闻-机器人的研究结果将在一份新的报告中讨论。根据来自…的消息中华人民共和国北京,由NewsRx记者报道,研究表明,“近年来,随着”室内巡检机器人的宽屏阅读应用,高效的运动规划变得至关重要。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Research findings on robotics are discussed in a new report. According to news originating fromBeijing, People’s Republic of Chi na, by NewsRx correspondents, research stated, “In recent years, withthe widesp read application of indoor inspection robots, efficient motion planning has beco me crucial.”

Key words

Beijing Institute of Technology/Beijing/People’s Republic of China/Asia/Algorithms/Emerging Technologies/Machine L earning/Nano-robot/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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