Robotics & Machine Learning Daily News2024,Issue(Nov.28) :24-25.

New Androids Study Findings Recently Were Reported by Researchers at Shandong Un iversity of Science and Technology (Optimization of Biped Robot Walking Based On the Improved Particle Swarm Algorithm)

研究人员最近报告了新的机器人研究发现山东科技大学(优化)基于改进粒子群算法的双足机器人步行群算法

Robotics & Machine Learning Daily News2024,Issue(Nov.28) :24-25.

New Androids Study Findings Recently Were Reported by Researchers at Shandong Un iversity of Science and Technology (Optimization of Biped Robot Walking Based On the Improved Particle Swarm Algorithm)

研究人员最近报告了新的机器人研究发现山东科技大学(优化)基于改进粒子群算法的双足机器人步行群算法

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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最新的机器人研究成果-机器人已经发表。根据新闻报道来自中华人民共和国山东,由NewsRx记者报道,研究称:“中心模式发生器(CPG)在双足步态生成中得到了广泛的应用,粒子群算法在双足步态生成中得到了广泛的应用CPG网络控制器的优化问题通常采用(PSO)算法。然而,经典的PSO算法未能充分挖掘和利用,导致算法效率降低优化精度和稳定性,降低CPG控制器的控制有效性。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Robotics - Androids have been published. According to news reportingoriginating from Shandong, People’s Republic of China, by NewsRx correspondents, research stated, “Thecentral patt ern generator (CPG) is widely applied in biped gait generation, and the particle swarm optimization(PSO) algorithm is commonly used to solve optimization probl ems for CPG network controllers.However, the canonical PSO algorithms fail to b alance exploration and exploitation, resulting in reducedoptimization accuracy and stability, decreasing the control effectiveness of CPG controllers.”

Key words

Shandong/People’s Republic of China/As ia/Androids/Algorithms/Emerging Technologies/Machine Learning/Nano-robot/R obot/Robotics/Shandong University of Science and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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