Robotics & Machine Learning Daily News2024,Issue(Jun.19) :4-4.

Studies from Guangxi University of Science and Technology Further Understanding of Robotics (Research On Gait Trajectory Planning of Wall-climbing Robot Based O n Improved Pso Algorithm)

广西科技大学对机器人学的进一步认识(基于改进Pso算法的爬壁机器人步态轨迹规划研究)

Robotics & Machine Learning Daily News2024,Issue(Jun.19) :4-4.

Studies from Guangxi University of Science and Technology Further Understanding of Robotics (Research On Gait Trajectory Planning of Wall-climbing Robot Based O n Improved Pso Algorithm)

广西科技大学对机器人学的进一步认识(基于改进Pso算法的爬壁机器人步态轨迹规划研究)

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摘要

由一名新闻记者-机器人和机器学习每日新闻的工作人员新闻编辑-一项关于机器人的新研究现在可以获得。根据NewsRx Correspondents从柳州传来的消息,研究表明:“为了减轻高层建筑工人的劳动强度,实现高层建筑设备的清洁和维护,”本文以尺蠖的运动为灵感,设计了一种四自由度双足爬壁仿生机器人,该机器人利用真空吸附进行垂直附壁,利用腿运动进行运动。本研究的资金来源包括广西科技基础人才工程、广西科技基地人才工程、中央引导地方科技发展专项基金、广西科技大学博士生基金。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-A new study on Robotics is now available. Accordi ng to news originating from Liuzhou, People's Republic of China, by NewsRx corre spondents, research stated, "In order to reduce the labor intensity of high-alti tude workers and realize the cleaning and maintenance of high-rise building exte riors, this paper proposes a design for a 4-DOF bipedal wall-climbing bionic rob ot inspired by the inchworm's movement. The robot utilizes vacuum adsorption for vertical wall attachment and legged movement for locomotion." Financial supporters for this research include Guangxi Science and Technology Ba se and Talent Project, Guangxi Science and Technology Base and Talent Project, S pecial fund for centrally guided local science and technology development, Guang xi University of Science and Technology Doctoral Fund.

Key words

Liuzhou/People's Republic of China/Asia/Algorithms/Emerging Technologies/Machine Learning/Mathematics/Polynomial/Robot/Robotics/Guangxi University of Science and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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