Robotics & Machine Learning Daily News2024,Issue(Dec.6) :131-131.

New Robotics Findings from Harbin University Described (A Fusion Algorithm for P ath Planning of Mobile Robots In Environments With Dynamic Obstacles)

描述了哈尔滨大学机器人学的新发现(动态障碍环境中移动机器人路径规划的融合算法)

Robotics & Machine Learning Daily News2024,Issue(Dec.6) :131-131.

New Robotics Findings from Harbin University Described (A Fusion Algorithm for P ath Planning of Mobile Robots In Environments With Dynamic Obstacles)

描述了哈尔滨大学机器人学的新发现(动态障碍环境中移动机器人路径规划的融合算法)

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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关于机器人的最新研究成果已经发表.据哈尔滨消息,中华人民共和国,NewsRx记者,研究称,“寻找一个平稳、安全的全球为了避免局部动态障碍,本文提出了一种对改进的路径进行积分的方法a*算法和人工势场法,即MAAPF。首先,多目标函数在a*算法的启发式函数中引入了减少全局冗余点的方法路径。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Current study results on Robotics have been publi shed. According to news originating from Harbin,People’s Republic of China, by NewsRx correspondents, research stated, “To find a smooth, safe globalpath that avoids the local dynamic obstacle, this article proposes a method of integratin g the improvedA* algorithm and artificial potential field method, namely, MAAPF . Firstly, the multi-objective functionsare introduced into the heuristic funct ion of the A* algorithm to reduce the redundant points in the globalpath.”

Key words

Harbin/People’s Republic of China/Asia/Algorithms/Emerging Technologies/Machine Learning/Nano-robot/Robot/Roboti cs/Harbin University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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