Robotics & Machine Learning Daily News2024,Issue(Nov.28) :145-146.

New Robotics Findings from Southeast University Reported (Global Path Guided Mod el Predictive Path Integral Control: Applications To Gpu-parallelizable Robot Si mulation Systems)

东南大学最新机器人发现报告(全球)路径引导模式预测路径积分控制的应用GPU并行机器人仿真系统

Robotics & Machine Learning Daily News2024,Issue(Nov.28) :145-146.

New Robotics Findings from Southeast University Reported (Global Path Guided Mod el Predictive Path Integral Control: Applications To Gpu-parallelizable Robot Si mulation Systems)

东南大学最新机器人发现报告(全球)路径引导模式预测路径积分控制的应用GPU并行机器人仿真系统

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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新闻——机器人的新研究是一项回购的主题。据南京的新闻报道,中华人民共和国,N ewsRx编辑,研究称,“在本文中,一个全球路径引导模型”提出了一种基于路径积分的(Global-MPPI)控制算法框架,该算法集成了基于全局路径规划算法的模型预测路径积分(MPPI)控制。方法旨在解决大规模空间中机器人路径规划和执行的挑战障碍。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Robotics is the subject of a repo rt. According to news reporting out of Nanjing,People’s Republic of China, by N ewsRx editors, research stated, “In this paper, a global path guided modelpredi ctive path integral (Global-MPPI) control algorithmic framework is proposed, whi ch integratesthe model predictive path integral (MPPI) control with global path planning algorithms. The methodis designed to address the challenges of robot path planning and execution in large-scale spaces withobstacles.”

Key words

Nanjing/People’s Republic of China/Asi a/Algorithms/Emerging Technologies/Machine Learning/Robot/Robotics/Southea st University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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