Robotics & Machine Learning Daily News2024,Issue(Dec.3) :165-166.

Reports Outline Robotics Study Results from Xi’an University of Technology (Rese arch On Path Planning of Intelligent Maintenance Robotic Arm for Distribution Li nes Under Complex Environment)

西安工业大学机器人学研究成果概要(复杂环境下配电网智能维修机械臂路径规划研究)

Robotics & Machine Learning Daily News2024,Issue(Dec.3) :165-166.

Reports Outline Robotics Study Results from Xi’an University of Technology (Rese arch On Path Planning of Intelligent Maintenance Robotic Arm for Distribution Li nes Under Complex Environment)

西安工业大学机器人学研究成果概要(复杂环境下配电网智能维修机械臂路径规划研究)

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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-调查人员讨论机器人的新发现。根据新闻报道来自中国人民共和国陕西省,由NewsRx记者报道,研究称:“维护分布线主要依靠人工操作的机械臂,缺乏智能和姿态复杂配电网环境中的碰撞安全风险。在本文中,我们研究了该算法的性能基于采样的算法,如Rapi dly—exploring随机树(RRT)、rrt*和rrt-connect对10 kV复杂配电环境下的路径规划进行了深入研究。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Robotics. According to news reporting originatingfrom Shaanxi, People’s Republi c of China, by NewsRx correspondents, research stated, “Maintenance ofdistribut ion lines primarily relies on manually operated robotic arms, which lack intelli gence and posesafety risks of collisions in complex distribution network enviro nments. In this paper, the performance ofsampling-based algorithms such as Rapi dly-exploring Random Trees (RRT), RRT*, and RRT-Connect forpath planning in com plex 10 kV distribution environments are thoroughly investigated.”

Key words

Shaanxi/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Robotics/Robots/Xi’an University o f Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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