Robotics & Machine Learning Daily News2024,Issue(Jun.12) :47-47.

Reports from Yanshan University Add New Data to Findings in Robotics (Adaptive Dynamic Formation Control of Robotic Vehicle Systems Based On Rigid Graph Theory)

燕山大学的报告为机器人学(基于刚性图论的机器人车辆系统自适应动态编队控制)的研究成果增添了新的数据

Robotics & Machine Learning Daily News2024,Issue(Jun.12) :47-47.

Reports from Yanshan University Add New Data to Findings in Robotics (Adaptive Dynamic Formation Control of Robotic Vehicle Systems Based On Rigid Graph Theory)

燕山大学的报告为机器人学(基于刚性图论的机器人车辆系统自适应动态编队控制)的研究成果增添了新的数据

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摘要

由新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-关于机器人的详细数据已经呈现。根据新的sRx通讯员从秦皇岛市发来的消息,研究表明:“本文研究了具有非完整约束和三维动力学模型的三维(3D)机器人车辆系统的动态编队问题,其控制目标是实现编队捕获(即车辆形成预定几何形状)和编队机动(车辆按照预定速度整体移动)。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Data detailed on Robotics have been presented. According to news originating from Qinhuangdao, People’s Republic of China, by New sRx correspondents, research stated, “In this paper, dynamic formation problem o f three-dimensional (3D) robotic vehicle systems with nonholonomic constraint an d dynamics model is investigated. The control objectives are to achieve formatio n acquisition (i.e., vehicles form a predefined geometric shape) and formation maneuvering (vehicles move as a whole following predefined velocity).”

Key words

Qinhuangdao/People's Republic of China/Asia/Emerging Technologies/Machine Learning/Mathematical Theories/Robotics/Robots/Yanshan University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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