Recent Findings from Dalian University of Technology Provides New Insights into Robotics (Hb-rrt:a Path Planning Algorithm for Mobile Robots Using Halton Sequen ce-based Rapidly-exploring Random Tree)

大连理工大学的最新发现为机器人学提供了新的见解(hb-rrt:一种基于Halton序列的快速探索随机树的移动机器人路径规划算法)

Robotics & Machine Learning Daily News2024，Issue(Jul.3) ：63-63.

来源：

NETL
NSTL

Recent Findings from Dalian University of Technology Provides New Insights into Robotics (Hb-rrt:a Path Planning Algorithm for Mobile Robots Using Halton Sequen ce-based Rapidly-exploring Random Tree)

大连理工大学的最新发现为机器人学提供了新的见解(hb-rrt:一种基于Halton序列的快速探索随机树的移动机器人路径规划算法)

扫码查看

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-研究人员详细介绍了机器人学的新数据。根据NewsRx编辑在大连的新闻报道，研究表明：“路径规划仍然是机器人高效操作的关键，本文提出了一种基于Halton偏差的快速探索随机树(HB-RRT)路径规划算法。”国家自然科学基金(NSFC)、教育部联合基金资助本研究。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in Robotics. Accordin g to news reporting out of Dalian, People’s Republic of China, by NewsRx editors , research stated, “Path planning remains crucial for efficient robot operation. A Halton Biased Rapidly-exploring Random Tree (HB-RRT) path planning algorithm is introduced in this study.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Ministry of education joint fund.

Key words

Dalian/People's Republic of China/Asia/Algorithms/Emerging Technologies/Machine Learning/Nano-robot/Robotics/Dal ian University of Technology

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航